Uses of Class
com.mockturtlesolutions.snifflib.datatypes.DblMatrix

Packages that use DblMatrix

Package	Description
com.mockturtlesolutions.snifflib.datatypes	Contains standard classes and interfaces for storage, retrieval, and display.
com.mockturtlesolutions.snifflib.datatypes.database	Base classes for the repository storage framework of the datatypes package.
com.mockturtlesolutions.snifflib.datatypes.workbench	Graphical interface classes for the repository storage framework of the datatypes package.
com.mockturtlesolutions.snifflib.functions	Contains standard classes and interfaces for defining functions.
com.mockturtlesolutions.snifflib.functions.transcendental	Base clases and interfaces for transcendental functions.
com.mockturtlesolutions.snifflib.graphics	Contains standard classes and interfaces for 2D and 3D graphics.
com.mockturtlesolutions.snifflib.guitools.components	Widgets and support classes for graphical user interfaces.
com.mockturtlesolutions.snifflib.integration	Contains standard classes and interfaces for performing integration.
com.mockturtlesolutions.snifflib.invprobs	Contains standard classes and interfaces for solving statistical inverse problems.
com.mockturtlesolutions.snifflib.linalg	Contains standard classes and interfaces for linear algebra.
com.mockturtlesolutions.snifflib.mcmctools.workbench	Graphical interface classes for the repository storage framework of the mcmctools package.
com.mockturtlesolutions.snifflib.pde	Contains standard classes and interfaces for numerical solution of partial differential equations.
com.mockturtlesolutions.snifflib.spreadsheets	Contains standard classes and interfaces for implmenting simple programmable spreadsheets.
com.mockturtlesolutions.snifflib.stats	Contains standard classes and interfaces for statistical storage classes and algorithms.
com.mockturtlesolutions.snifflib.testfun	Contains some typical functions useful for testing various algorithms.
com.mockturtlesolutions.snifflib.util	Contains some utility classes providing methods of broad applicability.
com.mockturtlesolutions.snifflib.util.database	Base classes for the repository storage framework of the util package.
com.mockturtlesolutions.snifflib.xppauttools.database	Base classes for the repository storage framework of xppauttools

Uses of DblMatrix in com.mockturtlesolutions.snifflib.datatypes

Subclasses of DblMatrix in com.mockturtlesolutions.snifflib.datatypes

Modifier and Type	Class and Description
class	SblMatrix Sparse DblMatrix variant.

Fields in com.mockturtlesolutions.snifflib.datatypes declared as DblMatrix

Modifier and Type	Field and Description
static DblMatrix	DblMatrix.E
static DblMatrix	DblMatrix.HALF
protected DblMatrix	DblSortUnit.Index
protected DblMatrix	DblSort.Indices
static DblMatrix	DblMatrix.INF
DblMatrix	MarkovChain.Iterations
static DblMatrix	DblMatrix.NaN
static DblMatrix	DblMatrix.NEGATIVE_INFINITY
static DblMatrix	DblMatrix.ONE
static DblMatrix	DblMatrix.PI
static DblMatrix	DblMatrix.POSITIVE_INFINITY
protected DblMatrix	DblSort.Sorted
static DblMatrix	DblMatrix.SQRT2
DblMatrix	MarkovChain.StochasticMatrix
static DblMatrix	DblMatrix.TWO
protected DblMatrix	DblSortUnit.Value
DblMatrix	Subscript.Value
static DblMatrix	DblMatrix.ZERO

Methods in com.mockturtlesolutions.snifflib.datatypes that return DblMatrix

Modifier and Type	Method and Description
static DblMatrix	DblMatrix.abs(DblMatrix Y)
DblMatrix	DataSetAdapter.abs(java.lang.String VarA)
static DblMatrix	DblMatrix.acos(DblMatrix Y)
DblMatrix	DataSetAdapter.acos(java.lang.String VarA)
static DblMatrix	DblMatrix.acosh(DblMatrix Y)
static DblMatrix	DblMatrix.acoth(DblMatrix Y)
static DblMatrix	DblMatrix.acsch(DblMatrix Y)
static DblMatrix	DblMatrix.add(double X, DblMatrix Y)
static DblMatrix	DblMatrix.add(int X, DblMatrix Y)
DblMatrix	DataSetAdapter.add(java.lang.String VarA, java.lang.String VarB)
static DblMatrix	DblMatrix.all(DblMatrix X) Boolean "all" down dimension 1.
static DblMatrix	DblMatrix.All(DblMatrix X) Boolean "all" inclusive of all values.
static DblMatrix	DblMatrix.all(DblMatrix X, int dim) Boolean "all" down dimension dim.
DblMatrix	DblMatrix.and(DblMatrix Z) "And" one matrix with another.
DblMatrix	SblMatrix.and(DblMatrix Z) "And" one matrix with another.
static DblMatrix	DblMatrix.and(DblMatrix Z, DblMatrix X) "And" one matrix with another.
static DblMatrix	DblMatrix.and(DblMatrix Z, double X) "And" one matrix with another.
static DblMatrix	DblMatrix.and(DblMatrix Z, int X) "And" one matrix with another.
static DblMatrix	DblMatrix.and(double X, DblMatrix Z) "And" one matrix with another.
static DblMatrix	DblMatrix.and(int X, DblMatrix Z) "And" one matrix with another.
static DblMatrix	DblMatrix.anscombe(DblMatrix X) Performs Anscombe transformation.
static DblMatrix	DblMatrix.anscombe(java.lang.Double X)
static DblMatrix	DblMatrix.any(DblMatrix X) Boolean "any" down dimension 1.
static DblMatrix	DblMatrix.Any(DblMatrix X) Boolean "any" inclusive of all values.
static DblMatrix	DblMatrix.any(DblMatrix X, int dim) Boolean "any" down dimension dim.
DblMatrix	DblSort.applyTo(DblMatrix x) Permutes the input matrix along the first dimension according the the current values of these sorted indices.
DblMatrix	DblSort.applyTo(DblMatrix x, int dim) Permutes the input matrix along the given dimension according the the current values of these sorted indices.
static DblMatrix	DblMatrix.asech(DblMatrix Y)
static DblMatrix	DblMatrix.asin(DblMatrix Y)
DblMatrix	DataSetAdapter.asin(java.lang.String VarA)
static DblMatrix	DblMatrix.asinh(DblMatrix Y)
static DblMatrix	DblMatrix.atan(DblMatrix Y)
DblMatrix	DataSetAdapter.atan(java.lang.String VarA)
static DblMatrix	DblMatrix.atan2(DblMatrix Y, DblMatrix X)
DblMatrix	DataSetAdapter.atan2(java.lang.String VarA, java.lang.String VarB)
static DblMatrix	DblMatrix.atanh(DblMatrix Y)
DblMatrix	DblMatrix.bounds() Return the smallest and largest values in a matrix.
static DblMatrix	DblMatrix.bounds(DblMatrix X) Return the smallest and largest values in a matrix.
static DblMatrix	DblMatrix.cbrt(DblMatrix Y)
DblMatrix	DataSetAdapter.cbrt(java.lang.String VarA)
protected DblMatrix	DblMatrix.cccopy() Copy using the current counter configuration.
static DblMatrix	DblMatrix.ceil(DblMatrix Y)
DblMatrix	DataSetAdapter.ceil(java.lang.String VarA)
static DblMatrix	DblMatrix.comp(DblMatrix u, DblMatrix v) Return the scalar projection (or component) of u onto v.
DblMatrix	DblMatrix.concat(DblMatrix B, int dim)
static DblMatrix	DblMatrix.convertStringToDbl(java.lang.String in)
DblMatrix	DblMatrix.copy() Make a deep copy of the matrix.
static DblMatrix	DblMatrix.copySign(DblMatrix X, DblMatrix Y)
static DblMatrix	DblMatrix.copySign(DblMatrix X, double b)
static DblMatrix	DblMatrix.copySign(DblMatrix X, float Y)
static DblMatrix	DblMatrix.copySign(DblMatrix X, int Y)
static DblMatrix	DblMatrix.cos(DblMatrix Y)
DblMatrix	DataSetAdapter.cos(java.lang.String VarA)
static DblMatrix	DblMatrix.cosh(DblMatrix Y)
DblMatrix	DataSetAdapter.cosh(java.lang.String VarA)
static DblMatrix	DblMatrix.coth(DblMatrix Y)
static DblMatrix	DblMatrix.csc(DblMatrix Y)
static DblMatrix	DblMatrix.csch(DblMatrix Y)
DblMatrix	DblMatrix.cumProd(int dim) Calculate the cummulative product down the given dimension.
DblMatrix	DblMatrix.cumSum(int dim) Calculate the cummulative sum down the given dimension.
DblMatrix	DblParamSet.Dblget(java.lang.String fieldname) Provides a Dblget method.
static DblMatrix	DblMatrix.degreesToRadians(DblMatrix x)
static DblMatrix	DblMatrix.degreesToRadians(double x)
static DblMatrix	DblMatrix.degreesToRadians(int x)
static DblMatrix	DblMatrix.det(DblMatrix X) Returns the determinant of the square matrix.
DblMatrix	DblMatrix.diag() Get main diagonal elements of an ND matrix.
DblMatrix	DblMatrix.diag(int diagonal) Get particular diagonal.
static DblMatrix	DblMatrix.diameter(DblMatrix X) The maximum euclidean distance between columns in a matrix.
static DblMatrix	DblMatrix.divide(double X, DblMatrix Y)
static DblMatrix	DblMatrix.divide(int X, DblMatrix Y)
DblMatrix	DataSetAdapter.divide(java.lang.String VarA, java.lang.String VarB)
DblMatrix	DblMatrix.divideBy(DblMatrix X) Divide one matrix by another.
DblMatrix	SblMatrix.divideBy(DblMatrix X)
DblMatrix	DblMatrix.divideBy(double X) Divide one matrix by another.
DblMatrix	DblMatrix.divideBy(java.lang.Double X) Divide one matrix by another.
DblMatrix	DblMatrix.divideBy(int X) Divide one matrix by another.
DblMatrix	DblMatrix.dot(DblMatrix X) Dot product of two matrices.
DblMatrix	SblMatrix.dot(DblMatrix X)
static DblMatrix	DblMatrix.dummyCoding(DblMatrix X) Produces a dummy-variable encoding matrix based on the unique values of the input array.
static DblMatrix	DblMatrix.dummyCoding(DblMatrix X, boolean intercept) Produces a dummy-variable encoding matrix based on the unique values of the input array.
static DblMatrix	DblMatrix.dummyCoding(DblMatrix X, boolean intercept, boolean fullrank) Produces a dummy-variable encoding matrix based on the unique values of the input array.
DblMatrix	DblMatrix.eq(DblMatrix X) Boolean equality comparison.
DblMatrix	DblMatrix.eq(double X) Boolean inequality comparison determining equal-to.
DblMatrix	DblMatrix.eq(int X) Boolean inequality comparison determining equal-to.
static DblMatrix	DblMatrix.euclid(DblMatrix X) Euclidean distance among columns.
static DblMatrix	DblMatrix.exp(DblMatrix Y)
DblMatrix	DataSetAdapter.exp(java.lang.String VarA)
static DblMatrix	DblMatrix.expm1(DblMatrix Y)
DblMatrix	DataSetAdapter.expm1(java.lang.String VarA)
static DblMatrix	DblMatrix.factorial(DblMatrix X)
static DblMatrix	DblMatrix.factorial(double X)
static DblMatrix	DblMatrix.factorial(int X)
static DblMatrix	DblMatrix.fill(DblMatrix X, int[] Size) Create a matrix of arbitrary dimension filled with the same value.
static DblMatrix	DblMatrix.fill(double X, int[] Size) Create a matrix of arbitrary dimension filled with the same value.
static DblMatrix	DblMatrix.fill(java.lang.Double X, int[] Size) Create a matrix of arbitrary dimension filled with the same value.
static DblMatrix	DblMatrix.fill(int X, int[] Size) Create a matrix of arbitrary dimension filled with the same value.
static DblMatrix	DblMatrix.find(DblMatrix X)
DblMatrix	DblMatrix.fliplr() Reverses order of matrix elements in left-to-right.
DblMatrix	DblMatrix.flipud() Reverses order of matrix elements in top-to-bottom.
static DblMatrix	DblMatrix.floor(DblMatrix Y)
DblMatrix	DataSetAdapter.floor(java.lang.String VarA)
static DblMatrix	DblMatrix.gap(DblMatrix u, DblMatrix v) Returns the cosine of the angle between the two input vectors.
DblMatrix	DblMatrix.geq(DblMatrix X) Boolean inequality comparison determining greater-than-or-equal-to.
DblMatrix	DblMatrix.geq(double X) Boolean inequality comparison determining greater-than-or-equal-to.
DblMatrix	DblMatrix.geq(int X) Boolean inequality comparison determining greater-than-or-equal-to.
DblMatrix	DblMatrix.getCol(DblMatrix col) Get a particular col.
DblMatrix	DblMatrix.getCol(int col) Get a particular col.
DblMatrix	DblMatrix.getDblAt(int k) Return the scalar DblMatrix at a particular index.
DblMatrix	DblSortUnit.getDblMatrix()
static DblMatrix	DblMatrix.getExponent(DblMatrix Y)
DblMatrix	DblSortUnit.getIndex()
DblMatrix	DblSort.getIndices() Get the permuted indices along the sorted dimension.
DblMatrix	DblMatrix.getIndices(DblMatrix I) Get values whose indices are given in a DblMatrix.
DblMatrix	DblMatrix.getIndices(int[] I) Get values whose indices are given.
DblMatrix	DblMatrix.getMap(DblMatrix MAP) Get values from a matrix based on a logical map.
static DblMatrix	DblMatrix.getNextRow(java.io.StreamTokenizer STT)
DblMatrix	DblParamSet.getParam(java.lang.String name)
DblMatrix	DblMatrix.getRow(DblMatrix row) Get a particular row.
DblMatrix	DblMatrix.getRow(int row) Get a particular row.
DblMatrix	DblSort.getSorted() Get the sorted DblMatrix.
DblMatrix	DblMatrix.getSubMatrix(Subscript[] subscripts) Get a matrix of values by sub-indexing into an existing matrix.
DblMatrix	NamedColumnMapping.getVar(DblMatrix W, java.lang.String name) Gets the column of the input matrix according to the current variable name mapping.
static DblMatrix[]	DblMatrix.GramSchmidt(DblMatrix[] u)
static DblMatrix[]	DblMatrix.grid(DblMatrix[] X)
static DblMatrix[]	DblMatrix.grid(DblMatrix X1, DblMatrix X2)
static DblMatrix[]	DblMatrix.grid(DblMatrix X1, DblMatrix X2, DblMatrix X3)
DblMatrix	DblMatrix.gt(DblMatrix X) Boolean inequality comparison determining greater-than.
DblMatrix	DblMatrix.gt(double X) Boolean inequality comparison determining greater-than.
DblMatrix	DblMatrix.gt(int X) Boolean inequality comparison determining greater-than.
static DblMatrix	DblMatrix.hypot(DblMatrix X, DblMatrix Y)
static DblMatrix	DblMatrix.hypot(double x, double y)
static DblMatrix	DblMatrix.hypot(java.lang.Double x, java.lang.Double y)
DblMatrix	DataSetAdapter.hypot(java.lang.String VarA, java.lang.String VarB)
static DblMatrix	DblMatrix.I(DblMatrix X) Create square identity matrix with N rows.
static DblMatrix	DblMatrix.I(int N) Create square identity matrix with N rows.
static DblMatrix	DblMatrix.I(int[] size) Create rectangular identity matrix with given size.
static DblMatrix	DblMatrix.ianscombe(DblMatrix X)
static DblMatrix	DblMatrix.ianscombe(java.lang.Double X)
static DblMatrix	DblMatrix.IEEEremainder(DblMatrix Y, DblMatrix X) Calculate remainder.
static DblMatrix	DblMatrix.IEEEremainder(DblMatrix Y, double X)
static DblMatrix	DblMatrix.IEEEremainder(DblMatrix Y, int X)
DblMatrix	DataSetAdapter.IEEEremainder(java.lang.String VarA, java.lang.String VarB)
DblMatrix	DblMatrix.iPermute(int[] Perm)
static DblMatrix	DblMatrix.isInfinite(DblMatrix X) Boolean isInfinite
static DblMatrix	DblMatrix.isNaN(DblMatrix X) Boolean isNaN
static DblMatrix	DblMatrix.isReal(DblMatrix X) Boolean isReal Determines if elements are not NaN nor Infinite;
static DblMatrix	DblMatrix.isScalar(DblMatrix X) Determine if a matrix is sized 1x1.
static DblMatrix	DblMatrix.J(DblMatrix X) Create a column vector of ones.
static DblMatrix	DblMatrix.J(int N) Create a column vector of ones.
DblMatrix	DblMatrix.kronecker(DblMatrix X) Returns Kronecker product taken with respect to the input matrix.
DblMatrix	SblMatrix.ldot(DblMatrix X) Same as X.dot(this)
DblMatrix	DblMatrix.leq(DblMatrix X) Boolean inequality comparison determining less-than-or-equal-to.
DblMatrix	DblMatrix.leq(double X) Boolean inequality comparison determining less-than-or-equal-to.
DblMatrix	DblMatrix.leq(int X) Boolean inequality comparison determining less-than-or-equal-to.
static DblMatrix	DblMatrix.load(java.io.File dat) Loads the whitespace-delimited text file as a DblMatrix.
static DblMatrix	DblMatrix.load(java.io.File dat, int headerlines) Loads the whitespace-delimited text file as a DblMatrix ignoring the first N lines.
static DblMatrix	DblMatrix.log(DblMatrix Y)
static DblMatrix	DblMatrix.log(double Y)
static DblMatrix	DblMatrix.log(java.lang.Double Y)
static DblMatrix	DblMatrix.log(int Y)
DblMatrix	DataSetAdapter.log(java.lang.String VarA)
static DblMatrix	DblMatrix.log10(DblMatrix Y)
static DblMatrix	DblMatrix.log10(double Y)
static DblMatrix	DblMatrix.log10(java.lang.Double Y)
static DblMatrix	DblMatrix.log10(int Y)
DblMatrix	DataSetAdapter.log10(java.lang.String VarA)
static DblMatrix	DblMatrix.log1p(DblMatrix Y)
static DblMatrix	DblMatrix.log1p(double Y)
static DblMatrix	DblMatrix.log1p(java.lang.Double Y)
static DblMatrix	DblMatrix.log1p(int Y)
DblMatrix	DataSetAdapter.log1p(java.lang.String VarA)
static DblMatrix	DblMatrix.logGamma(DblMatrix x)
static DblMatrix	DblMatrix.logGamma(double x)
static DblMatrix	DblMatrix.logGamma(int x)
static DblMatrix	DblMatrix.logxy(DblMatrix X, DblMatrix Y) Log base x of y.
static DblMatrix	DblMatrix.logxy(double X, double Y) Log base x of y.
static DblMatrix	DblMatrix.logxy(double X, java.lang.Double Y) Log base x of y.
static DblMatrix	DblMatrix.logxy(double X, int Y) Log base x of y.
static DblMatrix	DblMatrix.logxy(int X, int Y) Log base x of y.
DblMatrix	DblMatrix.lt(DblMatrix X) Boolean inequality comparison determining less-than.
DblMatrix	DblMatrix.lt(double X) Boolean inequality comparison determining less-than.
DblMatrix	DblMatrix.lt(int X) Boolean inequality comparison determining less-than.
DblMatrix	DblMatrix.max() Calculate maximum down the first dimension.
DblMatrix	DblMatrix.Max() Calculate the grand maximum (over all elements)
DblMatrix	DblMatrix.max(DblMatrix X) Calculate maximum between two matrices.
static DblMatrix	DblMatrix.Max(DblMatrix X) Calculate the grand maximum (over all elements)
static DblMatrix	DblMatrix.max(DblMatrix X, DblMatrix Y) Return maximum between two matrices.
static DblMatrix	DblMatrix.max(DblMatrix X, double Y) Return maximum between a matrix and a scalar.
static DblMatrix	DblMatrix.max(DblMatrix X, java.lang.Double Y) Return maximum between a matrix and a scalar.
static DblMatrix	DblMatrix.max(DblMatrix X, int dim) Calculate maximum down the specified dimension.
static DblMatrix	DblMatrix.max(double X, DblMatrix Y)
DblMatrix	DblMatrix.max(int dim) Calculate maximum down the specified dimension.
DblMatrix	DataSetAdapter.max(java.lang.String VarA, java.lang.String VarB)
DblMatrix	DblMatrix.mean() Calculate mean down the first dimension.
DblMatrix	DblMatrix.Mean() Calculate the grand mean (over all elements)
static DblMatrix	DblMatrix.Mean(DblMatrix X) Calculate the grand mean (over all elements)
DblMatrix	DblMatrix.mean(int dim) Calculate mean down the specified dimension.
DblMatrix	DblMatrix.Median() Median of all elements
static DblMatrix	DblMatrix.median(DblMatrix X) Median of all elements
static DblMatrix	DblMatrix.Median(DblMatrix X) Median of all elements
DblMatrix	DblMatrix.min() Calculate minimum down the first dimension.
DblMatrix	DblMatrix.Min() Calculate the grand minimum (over all elements)
DblMatrix	DblMatrix.min(DblMatrix X) Calculate minimum between two matrices.
static DblMatrix	DblMatrix.Min(DblMatrix X) Calculate the grand minimum (over all elements)
static DblMatrix	DblMatrix.min(DblMatrix X, DblMatrix Y) Return minimum between two matrices.
static DblMatrix	DblMatrix.min(DblMatrix Y, double X)
static DblMatrix	DblMatrix.min(DblMatrix X, java.lang.Double Y) Return minimum between a matrix and a scalar.
static DblMatrix	DblMatrix.min(DblMatrix Y, int X)
static DblMatrix	DblMatrix.min(DblMatrix Y, java.lang.Number X)
static DblMatrix	DblMatrix.min(double X, DblMatrix Y)
DblMatrix	DblMatrix.min(int dim) Calculate minimum down the specified dimension.
static DblMatrix	DblMatrix.min(int X, DblMatrix Y)
static DblMatrix	DblMatrix.min(java.lang.Number X, DblMatrix Y)
DblMatrix	DataSetAdapter.min(java.lang.String VarA, java.lang.String VarB)
DblMatrix	DblMatrix.minus(DblMatrix X) Subtract input matrix from this matrix.
DblMatrix	SblMatrix.minus(DblMatrix X)
DblMatrix	DblMatrix.minus(double X) Subtract input matrix from this matrix.
DblMatrix	DblMatrix.minus(int X) Subtract input matrix from this matrix.
static DblMatrix	DblMatrix.mod(DblMatrix X, DblMatrix Y) Modulo of X after division by Y.
static DblMatrix	DblMatrix.mod(DblMatrix X, double Y) Modulo of X after division by Y.
static DblMatrix	DblMatrix.mod(DblMatrix X, java.lang.Double Y) Modulo of X after division by Y.
static DblMatrix	DblMatrix.mod(DblMatrix X, int Y) Modulo of X after division by Y.
static DblMatrix	DblMatrix.multiply(double X, DblMatrix Y)
static DblMatrix	DblMatrix.multiply(int X, DblMatrix Y)
DblMatrix	DataSetAdapter.multiply(java.lang.String VarA, java.lang.String VarB)
static DblMatrix	DblMatrix.nchoosek(DblMatrix N, DblMatrix k)
static DblMatrix	DblMatrix.nchoosek(double N, double k)
static DblMatrix	DblMatrix.nchoosek(int N, int k)
DblMatrix	DblMatrix.neq(DblMatrix X) Boolean equality comparison determining not-equal-to.
DblMatrix	DblMatrix.neq(double X) Boolean inequality comparison determining not-equal-to.
DblMatrix	DblMatrix.neq(int X) Boolean inequality comparison determining not-equal-to.
static DblMatrix	DblMatrix.nextAfter(DblMatrix X, DblMatrix Y) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextAfter(DblMatrix X, double y) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextAfter(DblMatrix X, float b) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextAfter(double y, DblMatrix X) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextAfter(float b, DblMatrix X) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextUp(DblMatrix X) Returns the floating-point value adjacent to d in the direction of positive infinity.
DblMatrix	DblRandom.normRand(double Mean, double Variance, int[] Size) Create a matrix whose entries are generated from a Normal(Mean,Variance) distribution.
DblMatrix	DblRandom.normRand(int[] Size) Create a matrix whose entries are generated from a Normal(0,1) distribution.
DblMatrix	DblMatrix.nzDivideBy(DblMatrix X) Divide one matrix by another.
DblMatrix	DblMatrix.nzDivideBy(double X) Divide one matrix by another.
DblMatrix	DblMatrix.nzDivideBy(java.lang.Double X) Divide one matrix by another.
DblMatrix	DblMatrix.nzDivideBy(int X) Divide one matrix by another.
static DblMatrix	DblMatrix.oldload(java.io.File dat, int headerlines) Loads the whitespace-delimited text file as a DblMatrix ignoring the first N lines.
DblMatrix	DblMatrix.optDivideBy(DblMatrix X, boolean nodividebyzero) Divide one matrix by another.
DblMatrix	DblMatrix.optDivideBy(double X, boolean nodividebyzero) Divide one matrix by another.
DblMatrix	DblMatrix.optDivideBy(java.lang.Double X, boolean nodividebyzero) Divide one matrix by another.
DblMatrix	DblMatrix.optDivideBy(int X, boolean nodividebyzero) Divide one matrix by another.
DblMatrix	DblMatrix.or(DblMatrix Z) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(DblMatrix Z, DblMatrix X) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(DblMatrix Z, double X) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(DblMatrix Z, int X) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(double X, DblMatrix Z) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(int X, DblMatrix Z) "Or" one matrix with another.
static DblMatrix	DblMatrix.orth(DblMatrix u) Return a vector orthogonal to the given vector.
static DblMatrix	DblMatrix.orth(DblMatrix[] u) Return a vector orthogonal to the spanning set of vectors.
static DblMatrix	DblMatrix.parse(java.lang.String s) Static method to parse a string into a DblMatrix.
DblMatrix	DblMatrix.permute(int[] Perm)
DblMatrix	DblMatrix.plus(DblMatrix X) Add one matrix to another.
DblMatrix	SblMatrix.plus(DblMatrix X)
DblMatrix	DblMatrix.plus(double X) Add one matrix to another.
DblMatrix	DblMatrix.plus(int X) Add one matrix to another.
static DblMatrix[]	DblMatrix.polarToCartesian(DblMatrix theta, DblMatrix radius)
DblMatrix	DblMatrix.popstd() Calculate population standard deviation down the first dimension.
DblMatrix	DblMatrix.popStd() Calculate the grand population standard deviation (over all elements) Calculates (SUM(X^2)-(1/N)(SUM(X))^2)/(N-1).
static DblMatrix	DblMatrix.popStd(DblMatrix X) Calculate the grand population standard deviation (over all elements) Calculates (SUM(X^2)-(1/N)(SUM(X))^2)/(N-1).
DblMatrix	DblMatrix.popstd(int dim) Calculate population standard deviation down the specified dimension.
static DblMatrix	DblMatrix.popVar(DblMatrix X) Calculate the grand population variance (over all elements) Calculates (SUM(X^2)-(1/N)(SUM(X))^2)/(N-1).
DblMatrix	DblMatrix.pow(DblMatrix exponent) Raise a Matrix to a power.
DblMatrix	SblMatrix.pow(DblMatrix X)
static DblMatrix	DblMatrix.pow(DblMatrix Y, DblMatrix exponent)
static DblMatrix	DblMatrix.pow(DblMatrix Y, double exponent)
static DblMatrix	DblMatrix.pow(DblMatrix Y, int exponent)
DblMatrix	DblMatrix.pow(double exponent)
DblMatrix	DblMatrix.pow(java.lang.Double exponent)
static DblMatrix	DblMatrix.pow(double Y, DblMatrix exponent)
DblMatrix	DblMatrix.pow(int exponent)
static DblMatrix	DblMatrix.pow(int Y, DblMatrix exponent)
DblMatrix	DataSetAdapter.pow(java.lang.String VarA, java.lang.String VarB)
static DblMatrix	DblMatrix.Prod(DblMatrix X) Calculate the grand product(over all elements)
static DblMatrix	DblMatrix.prod(DblMatrix X, int dim) Multiply along the dimension dim.
DblMatrix	DblMatrix.prod(int dim) Returns product along the dimension dim.
static DblMatrix	DblMatrix.proj(DblMatrix u, DblMatrix v) Orthogonally project column vector u onto column vector v.
static DblMatrix	DblMatrix.proj(DblMatrix u, DblMatrix[] v) Orthogonally project column vector u onto the plane spanned by vectors v.
static DblMatrix	DblMatrix.radiansToDegrees(DblMatrix x)
static DblMatrix	DblMatrix.radiansToDegrees(double x)
static DblMatrix	DblMatrix.radiansToDegrees(int x)
DblMatrix	DataSetAdapter.random()
static DblMatrix	DblMatrix.random()
static DblMatrix	DblMatrix.random(int N)
DblMatrix	DblMatrix.reorderBy(DblMatrix indices)
static DblMatrix	DblMatrix.replicate(DblMatrix IN, int[] multiplicity) Replicate a matrix of arbitrary dimension along a given dimension.
static DblMatrix	DblMatrix.replicate(double input, int[] multiplicity) Replicate a matrix of arbitrary dimension along a given dimension.
static DblMatrix	DblMatrix.replicate(int input, int[] multiplicity) Replicate a matrix of arbitrary dimension along a given dimension.
DblMatrix	DblMatrix.reshape(int[] size)
static DblMatrix	DblMatrix.rint(DblMatrix Y)
DblMatrix	DataSetAdapter.rint(java.lang.String VarA)
static DblMatrix	DblMatrix.round(DblMatrix Y)
DblMatrix	DataSetAdapter.round(java.lang.String VarA)
static DblMatrix	DblMatrix.scalb(DblMatrix Y, DblMatrix exponent) Return d*2^{scalefactor} rounded as if performed by a single correctly rounded floating-point multiply to a member of the double value set.
static DblMatrix	DblMatrix.scalb(DblMatrix X, int scalefactor) Return d*2^{scalefactor} rounded as if performed by a single correctly rounded floating-point multiply to a member of the double value set.
static DblMatrix	DblMatrix.sec(DblMatrix Y)
static DblMatrix	DblMatrix.sech(DblMatrix Y)
static DblMatrix	DblMatrix.sign(DblMatrix X) Sign returns 1 if X is greater than 0, 0 if X equals zero and -1 if X is less than zero.
static DblMatrix	DblMatrix.sign(DblMatrix X, DblMatrix Y) Returns sign transfer function.
static DblMatrix	DblMatrix.signum(DblMatrix Y)
static DblMatrix	DblMatrix.signum(double Y)
static DblMatrix	DblMatrix.signum(java.lang.Double Y)
DblMatrix	DataSetAdapter.signum(java.lang.String VarA)
static DblMatrix	DblMatrix.sin(DblMatrix Y)
DblMatrix	DataSetAdapter.sin(java.lang.String VarA)
static DblMatrix	DblMatrix.sinh(DblMatrix Y)
DblMatrix	DataSetAdapter.sinh(java.lang.String VarA)
static DblMatrix	DblMatrix.span(DblMatrix A, DblMatrix B, int N) Create a vector that spans an upper and lower value using N steps.
static DblMatrix	DblMatrix.span(double a, double b, int N) Create a vector that spans an upper and lower value using N steps.
static DblMatrix	DblMatrix.span(int a, int b, int N) Create a vector that spans an upper and lower value using N steps.
static DblMatrix[]	DblMatrix.spanningSetFor(DblMatrix N) Find a spanning set of unit vectors for the given normal vector.
static DblMatrix	DblMatrix.sqrt(DblMatrix Y)
static DblMatrix	DblMatrix.sqrt(double Y)
DblMatrix	DataSetAdapter.sqrt(java.lang.String VarA)
DblMatrix	DblMatrix.std() Calculate sample standard deviation down the first dimension.
DblMatrix	DblMatrix.Std()
static DblMatrix	DblMatrix.std(DblMatrix X)
static DblMatrix	DblMatrix.Std(DblMatrix X) Calculate the grand sample standard deviation (over all elements) Calculates (SUM(X^2)-(1/N)(SUM(X))^2)/(N-1).
DblMatrix	DblMatrix.std(int dim) Calculate sample standard deviation down the specified dimension.
static DblMatrix	DblMatrix.subtract(double X, DblMatrix Y)
static DblMatrix	DblMatrix.subtract(int X, DblMatrix Y)
DblMatrix	DataSetAdapter.subtract(java.lang.String VarA, java.lang.String VarB)
DblMatrix	DblMatrix.Sum() Calculate the grand sum (over all elements)
static DblMatrix	DblMatrix.Sum(DblMatrix X) Calculate the grand sum (over all elements)
static DblMatrix	DblMatrix.sum(DblMatrix X, int dim) Sum along the dimension dim.
DblMatrix	DblMatrix.sum(int dim) Sum along the dimension dim.
static DblMatrix	DblMatrix.tan(DblMatrix Y) Returns the trigonometric tangent of an angle.
DblMatrix	DataSetAdapter.tan(java.lang.String VarA)
static DblMatrix	DblMatrix.tanh(DblMatrix Y) Returns the hyperbolic tangent of a double value.
DblMatrix	DataSetAdapter.tanh(java.lang.String VarA)
DblMatrix	DblMatrix.times(DblMatrix X)
DblMatrix	SblMatrix.times(DblMatrix X)
DblMatrix	DblMatrix.times(double X)
DblMatrix	DblMatrix.times(java.lang.Double X)
DblMatrix	DblMatrix.times(int X)
static DblMatrix[]	DblMatrix.toArray(DblMatrix INPUT, int dim) Convert the input DblMatrix to an array by "slicing" along the given dimension.
DblMatrix	DblParamSet.toDblVector() Extract the values of parameters as a DblMatrix vector.
static DblMatrix	DblMatrix.toDegrees(DblMatrix Y) Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
DblMatrix	DataSetAdapter.toDegrees(java.lang.String VarA)
static DblMatrix	DblMatrix.toRadians(DblMatrix Y) Converts an angle measured in degrees to an approximately equivalent angle measured in radians.
DblMatrix	DataSetAdapter.toRadians(java.lang.String VarA)
static DblMatrix	DblMatrix.trace(DblMatrix X) Return the trace of the given matrix.
DblMatrix	DblMatrix.transpose() Transpose a 2D matrix.
DblMatrix	DblMatrix.triBwdSub(DblMatrix x) Backward substitution using an upper triangular matrix.
static DblMatrix	DblMatrix.triBwdSub(DblMatrix R, DblMatrix x) Backward substitution using an upper triangular matrix.
DblMatrix	DblMatrix.triFwdSub(DblMatrix y) Solve a system of linear equations using forward-substitution.
static DblMatrix	DblMatrix.triFwdSub(DblMatrix R, DblMatrix x) Solve a system of linear equations using forward-substitution.
static DblMatrix	DblMatrix.tril(DblMatrix X) Get lower triangular portion of a matrix.
static DblMatrix	DblMatrix.tril(DblMatrix X, int diag) Get lower triangular portion of a matrix.
static DblMatrix	DblMatrix.triu(DblMatrix X) Get lower triangular portion of a matrix.
static DblMatrix	DblMatrix.triu(DblMatrix X, int diag) Get upper triangular portion of a matrix.
static DblMatrix	DblMatrix.ulp(DblMatrix Y)
static DblMatrix	DblMatrix.ulp(double Y)
static DblMatrix	DblMatrix.ulp(java.lang.Double Y)
DblMatrix	DataSetAdapter.ulp(java.lang.String VarA)
DblMatrix	DblRandom.unifRand(double A, double B, int[] Size) Create a matrix whose entries are generated from a Uniform (double A,double B) distribution.
DblMatrix	DblRandom.unifRand(int[] Size) Create a matrix whose entries are generated from a Uniform (0,1) distribution.
static DblMatrix	DblMatrix.union(DblMatrix A, DblMatrix B)
static DblMatrix	DblMatrix.unique(DblMatrix X) Return unique elements as a DblMatrix column vector.
static DblMatrix	DblMatrix.Var(DblMatrix X) Calculate the grand sample variance (over all elements) Calculates (SUM(X^2)-(1/N)(SUM(X))^2)/(N-1).
static DblMatrix	DblMatrix.vec(DblMatrix Y)
static DblMatrix	DblMatrix.vnorm(DblMatrix u) Returns the vector norm (length) of the input vector.

Methods in com.mockturtlesolutions.snifflib.datatypes with parameters of type DblMatrix

Modifier and Type	Method and Description
static DblMatrix	DblMatrix.abs(DblMatrix Y)
static DblMatrix	DblMatrix.acos(DblMatrix Y)
static DblMatrix	DblMatrix.acosh(DblMatrix Y)
static DblMatrix	DblMatrix.acoth(DblMatrix Y)
static DblMatrix	DblMatrix.acsch(DblMatrix Y)
static DblMatrix	DblMatrix.add(double X, DblMatrix Y)
static DblMatrix	DblMatrix.add(int X, DblMatrix Y)
static DblMatrix	DblMatrix.all(DblMatrix X) Boolean "all" down dimension 1.
static DblMatrix	DblMatrix.All(DblMatrix X) Boolean "all" inclusive of all values.
static DblMatrix	DblMatrix.all(DblMatrix X, int dim) Boolean "all" down dimension dim.
DblMatrix	DblMatrix.and(DblMatrix Z) "And" one matrix with another.
DblMatrix	SblMatrix.and(DblMatrix Z) "And" one matrix with another.
static DblMatrix	DblMatrix.and(DblMatrix Z, DblMatrix X) "And" one matrix with another.
static DblMatrix	DblMatrix.and(DblMatrix Z, double X) "And" one matrix with another.
static DblMatrix	DblMatrix.and(DblMatrix Z, int X) "And" one matrix with another.
static DblMatrix	DblMatrix.and(double X, DblMatrix Z) "And" one matrix with another.
static DblMatrix	DblMatrix.and(int X, DblMatrix Z) "And" one matrix with another.
static DblMatrix	DblMatrix.anscombe(DblMatrix X) Performs Anscombe transformation.
static DblMatrix	DblMatrix.any(DblMatrix X) Boolean "any" down dimension 1.
static DblMatrix	DblMatrix.Any(DblMatrix X) Boolean "any" inclusive of all values.
static DblMatrix	DblMatrix.any(DblMatrix X, int dim) Boolean "any" down dimension dim.
DblMatrix	DblSort.applyTo(DblMatrix x) Permutes the input matrix along the first dimension according the the current values of these sorted indices.
DblMatrix	DblSort.applyTo(DblMatrix x, int dim) Permutes the input matrix along the given dimension according the the current values of these sorted indices.
static DblMatrix	DblMatrix.asech(DblMatrix Y)
static DblMatrix	DblMatrix.asin(DblMatrix Y)
static DblMatrix	DblMatrix.asinh(DblMatrix Y)
static DblMatrix	DblMatrix.atan(DblMatrix Y)
static DblMatrix	DblMatrix.atan2(DblMatrix Y, DblMatrix X)
static DblMatrix	DblMatrix.atanh(DblMatrix Y)
static DblMatrix	DblMatrix.bounds(DblMatrix X) Return the smallest and largest values in a matrix.
static DblMatrix	DblMatrix.cbrt(DblMatrix Y)
static DblMatrix	DblMatrix.ceil(DblMatrix Y)
static DblMatrix	DblMatrix.comp(DblMatrix u, DblMatrix v) Return the scalar projection (or component) of u onto v.
DblMatrix	DblMatrix.concat(DblMatrix B, int dim)
static java.lang.String	DblMatrix.convertDblToString(DblMatrix in)
static DblMatrix	DblMatrix.copySign(DblMatrix X, DblMatrix Y)
static DblMatrix	DblMatrix.copySign(DblMatrix X, double b)
static DblMatrix	DblMatrix.copySign(DblMatrix X, float Y)
static DblMatrix	DblMatrix.copySign(DblMatrix X, int Y)
static DblMatrix	DblMatrix.cos(DblMatrix Y)
static DblMatrix	DblMatrix.cosh(DblMatrix Y)
static DblMatrix	DblMatrix.coth(DblMatrix Y)
static DblMatrix	DblMatrix.csc(DblMatrix Y)
static DblMatrix	DblMatrix.csch(DblMatrix Y)
void	DblParamSet.Dblput(java.lang.String fieldname, DblMatrix value) Provides a Dblput method.
static DblMatrix	DblMatrix.degreesToRadians(DblMatrix x)
static DblMatrix	DblMatrix.det(DblMatrix X) Returns the determinant of the square matrix.
static DblMatrix	DblMatrix.diameter(DblMatrix X) The maximum euclidean distance between columns in a matrix.
static DblMatrix	DblMatrix.divide(double X, DblMatrix Y)
static DblMatrix	DblMatrix.divide(int X, DblMatrix Y)
DblMatrix	DblMatrix.divideBy(DblMatrix X) Divide one matrix by another.
DblParamSet	DblParamSet.divideBy(DblMatrix X) Divide parameter set by scalar.
DblMatrix	SblMatrix.divideBy(DblMatrix X)
DblMatrix	DblMatrix.dot(DblMatrix X) Dot product of two matrices.
DblMatrix	SblMatrix.dot(DblMatrix X)
static DblMatrix	DblMatrix.dummyCoding(DblMatrix X) Produces a dummy-variable encoding matrix based on the unique values of the input array.
static DblMatrix	DblMatrix.dummyCoding(DblMatrix X, boolean intercept) Produces a dummy-variable encoding matrix based on the unique values of the input array.
static DblMatrix	DblMatrix.dummyCoding(DblMatrix X, boolean intercept, boolean fullrank) Produces a dummy-variable encoding matrix based on the unique values of the input array.
DblMatrix	DblMatrix.eq(DblMatrix X) Boolean equality comparison.
static DblMatrix	DblMatrix.euclid(DblMatrix X) Euclidean distance among columns.
static DblMatrix	DblMatrix.exp(DblMatrix Y)
static DblMatrix	DblMatrix.expm1(DblMatrix Y)
static DblMatrix	DblMatrix.factorial(DblMatrix X)
static DblMatrix	DblMatrix.fill(DblMatrix X, int[] Size) Create a matrix of arbitrary dimension filled with the same value.
static DblMatrix	DblMatrix.find(DblMatrix X)
static DblMatrix	DblMatrix.floor(DblMatrix Y)
static DataSet	DataSet.fromDblMatrix(DblMatrix X)
static DataSet	DataSet.fromDblMatrix(java.lang.String[] labels, DblMatrix[] cols)
static DblMatrix	DblMatrix.gap(DblMatrix u, DblMatrix v) Returns the cosine of the angle between the two input vectors.
DblMatrix	DblMatrix.geq(DblMatrix X) Boolean inequality comparison determining greater-than-or-equal-to.
DblMatrix	DblMatrix.getCol(DblMatrix col) Get a particular col.
static DblMatrix	DblMatrix.getExponent(DblMatrix Y)
DblMatrix	DblMatrix.getIndices(DblMatrix I) Get values whose indices are given in a DblMatrix.
DblMatrix	DblMatrix.getMap(DblMatrix MAP) Get values from a matrix based on a logical map.
DblMatrix	DblMatrix.getRow(DblMatrix row) Get a particular row.
DblMatrix	NamedColumnMapping.getVar(DblMatrix W, java.lang.String name) Gets the column of the input matrix according to the current variable name mapping.
static DblMatrix[]	DblMatrix.GramSchmidt(DblMatrix[] u)
static DblMatrix[]	DblMatrix.grid(DblMatrix[] X)
static DblMatrix[]	DblMatrix.grid(DblMatrix X1, DblMatrix X2)
static DblMatrix[]	DblMatrix.grid(DblMatrix X1, DblMatrix X2, DblMatrix X3)
DblMatrix	DblMatrix.gt(DblMatrix X) Boolean inequality comparison determining greater-than.
static DblMatrix	DblMatrix.hypot(DblMatrix X, DblMatrix Y)
static DblMatrix	DblMatrix.I(DblMatrix X) Create square identity matrix with N rows.
static DblMatrix	DblMatrix.ianscombe(DblMatrix X)
static DblMatrix	DblMatrix.IEEEremainder(DblMatrix Y, DblMatrix X) Calculate remainder.
static DblMatrix	DblMatrix.IEEEremainder(DblMatrix Y, double X)
static DblMatrix	DblMatrix.IEEEremainder(DblMatrix Y, int X)
static Subscript[]	DblMatrix.indexToSubscript(DblMatrix I, int[] Size) Convert an index array into a Subscript[] for a given matrix Size
static boolean	DblMatrix.isEqualSize(DblMatrix X, DblMatrix Y)
static DblMatrix	DblMatrix.isInfinite(DblMatrix X) Boolean isInfinite
static DblMatrix	DblMatrix.isNaN(DblMatrix X) Boolean isNaN
static DblMatrix	DblMatrix.isReal(DblMatrix X) Boolean isReal Determines if elements are not NaN nor Infinite;
static DblMatrix	DblMatrix.isScalar(DblMatrix X) Determine if a matrix is sized 1x1.
static DblMatrix	DblMatrix.J(DblMatrix X) Create a column vector of ones.
DblMatrix	DblMatrix.kronecker(DblMatrix X) Returns Kronecker product taken with respect to the input matrix.
DblMatrix	SblMatrix.ldot(DblMatrix X) Same as X.dot(this)
DblMatrix	DblMatrix.leq(DblMatrix X) Boolean inequality comparison determining less-than-or-equal-to.
static DblMatrix	DblMatrix.log(DblMatrix Y)
static DblMatrix	DblMatrix.log10(DblMatrix Y)
static DblMatrix	DblMatrix.log1p(DblMatrix Y)
static DblMatrix	DblMatrix.logGamma(DblMatrix x)
static DblMatrix	DblMatrix.logxy(DblMatrix X, DblMatrix Y) Log base x of y.
DblMatrix	DblMatrix.lt(DblMatrix X) Boolean inequality comparison determining less-than.
void	DblSort.mapToIndices(DblMatrix idx) The indices will be assigned to the input vector of indices after they are permuted by the current indices.
static Subscript[]	DblMatrix.mapToSubscript(DblMatrix MAP) Return Subscript[] indicating the non-zero entries of a DblMatrix.
DblMatrix	DblMatrix.max(DblMatrix X) Calculate maximum between two matrices.
static DblMatrix	DblMatrix.Max(DblMatrix X) Calculate the grand maximum (over all elements)
static DblMatrix	DblMatrix.max(DblMatrix X, DblMatrix Y) Return maximum between two matrices.
static DblMatrix	DblMatrix.max(DblMatrix X, double Y) Return maximum between a matrix and a scalar.
static DblMatrix	DblMatrix.max(DblMatrix X, java.lang.Double Y) Return maximum between a matrix and a scalar.
static DblMatrix	DblMatrix.max(DblMatrix X, int dim) Calculate maximum down the specified dimension.
static DblMatrix	DblMatrix.max(double X, DblMatrix Y)
static DblMatrix	DblMatrix.Mean(DblMatrix X) Calculate the grand mean (over all elements)
static DblMatrix	DblMatrix.median(DblMatrix X) Median of all elements
static DblMatrix	DblMatrix.Median(DblMatrix X) Median of all elements
DblMatrix	DblMatrix.min(DblMatrix X) Calculate minimum between two matrices.
static DblMatrix	DblMatrix.Min(DblMatrix X) Calculate the grand minimum (over all elements)
static DblMatrix	DblMatrix.min(DblMatrix X, DblMatrix Y) Return minimum between two matrices.
static DblMatrix	DblMatrix.min(DblMatrix Y, double X)
static DblMatrix	DblMatrix.min(DblMatrix X, java.lang.Double Y) Return minimum between a matrix and a scalar.
static DblMatrix	DblMatrix.min(DblMatrix Y, int X)
static DblMatrix	DblMatrix.min(DblMatrix Y, java.lang.Number X)
static DblMatrix	DblMatrix.min(double X, DblMatrix Y)
static DblMatrix	DblMatrix.min(int X, DblMatrix Y)
static DblMatrix	DblMatrix.min(java.lang.Number X, DblMatrix Y)
DblMatrix	DblMatrix.minus(DblMatrix X) Subtract input matrix from this matrix.
DblParamSet	DblParamSet.minus(DblMatrix X) Subtract scalar from parameter set.
DblMatrix	SblMatrix.minus(DblMatrix X)
static DblMatrix	DblMatrix.mod(DblMatrix X, DblMatrix Y) Modulo of X after division by Y.
static DblMatrix	DblMatrix.mod(DblMatrix X, double Y) Modulo of X after division by Y.
static DblMatrix	DblMatrix.mod(DblMatrix X, java.lang.Double Y) Modulo of X after division by Y.
static DblMatrix	DblMatrix.mod(DblMatrix X, int Y) Modulo of X after division by Y.
static DblMatrix	DblMatrix.multiply(double X, DblMatrix Y)
static DblMatrix	DblMatrix.multiply(int X, DblMatrix Y)
static DblMatrix	DblMatrix.nchoosek(DblMatrix N, DblMatrix k)
DblMatrix	DblMatrix.neq(DblMatrix X) Boolean equality comparison determining not-equal-to.
static DblMatrix	DblMatrix.nextAfter(DblMatrix X, DblMatrix Y) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextAfter(DblMatrix X, double y) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextAfter(DblMatrix X, float b) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextAfter(double y, DblMatrix X) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextAfter(float b, DblMatrix X) Returns the floating-point number adjacent to the first argument in the direction of the second argument.
static DblMatrix	DblMatrix.nextUp(DblMatrix X) Returns the floating-point value adjacent to d in the direction of positive infinity.
DblMatrix	DblMatrix.nzDivideBy(DblMatrix X) Divide one matrix by another.
DblMatrix	DblMatrix.optDivideBy(DblMatrix X, boolean nodividebyzero) Divide one matrix by another.
DblMatrix	DblMatrix.or(DblMatrix Z) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(DblMatrix Z, DblMatrix X) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(DblMatrix Z, double X) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(DblMatrix Z, int X) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(double X, DblMatrix Z) "Or" one matrix with another.
static DblMatrix	DblMatrix.or(int X, DblMatrix Z) "Or" one matrix with another.
static DblMatrix	DblMatrix.orth(DblMatrix u) Return a vector orthogonal to the given vector.
static DblMatrix	DblMatrix.orth(DblMatrix[] u) Return a vector orthogonal to the spanning set of vectors.
DblMatrix	DblMatrix.plus(DblMatrix X) Add one matrix to another.
DblParamSet	DblParamSet.plus(DblMatrix X) Add scalar to a parameter set.
DblMatrix	SblMatrix.plus(DblMatrix X)
static DblMatrix[]	DblMatrix.polarToCartesian(DblMatrix theta, DblMatrix radius)
static DblMatrix	DblMatrix.popStd(DblMatrix X) Calculate the grand population standard deviation (over all elements) Calculates (SUM(X^2)-(1/N)(SUM(X))^2)/(N-1).
static DblMatrix	DblMatrix.popVar(DblMatrix X) Calculate the grand population variance (over all elements) Calculates (SUM(X^2)-(1/N)(SUM(X))^2)/(N-1).
DblMatrix	DblMatrix.pow(DblMatrix exponent) Raise a Matrix to a power.
DblMatrix	SblMatrix.pow(DblMatrix X)
static DblMatrix	DblMatrix.pow(DblMatrix Y, DblMatrix exponent)
static DblMatrix	DblMatrix.pow(DblMatrix Y, double exponent)
static DblMatrix	DblMatrix.pow(DblMatrix Y, int exponent)
static DblMatrix	DblMatrix.pow(double Y, DblMatrix exponent)
static DblMatrix	DblMatrix.pow(int Y, DblMatrix exponent)
static DblMatrix	DblMatrix.Prod(DblMatrix X) Calculate the grand product(over all elements)
static DblMatrix	DblMatrix.prod(DblMatrix X, int dim) Multiply along the dimension dim.
static DblMatrix	DblMatrix.proj(DblMatrix u, DblMatrix v) Orthogonally project column vector u onto column vector v.
static DblMatrix	DblMatrix.proj(DblMatrix u, DblMatrix[] v) Orthogonally project column vector u onto the plane spanned by vectors v.
static DblMatrix	DblMatrix.proj(DblMatrix u, DblMatrix[] v) Orthogonally project column vector u onto the plane spanned by vectors v.
static DblMatrix	DblMatrix.radiansToDegrees(DblMatrix x)
DblMatrix	DblMatrix.reorderBy(DblMatrix indices)
void	DblParamSet.replaceAllWith(DblMatrix x)
static DblMatrix	DblMatrix.replicate(DblMatrix IN, int[] multiplicity) Replicate a matrix of arbitrary dimension along a given dimension.
static DblMatrix	DblMatrix.rint(DblMatrix Y)
static DblMatrix	DblMatrix.round(DblMatrix Y)
boolean	DblMatrix.sameSize(DblMatrix V) Returns true if the given matrix has the same size as this matrix.
static DblMatrix	DblMatrix.scalb(DblMatrix Y, DblMatrix exponent) Return d*2^{scalefactor} rounded as if performed by a single correctly rounded floating-point multiply to a member of the double value set.
static DblMatrix	DblMatrix.scalb(DblMatrix X, int scalefactor) Return d*2^{scalefactor} rounded as if performed by a single correctly rounded floating-point multiply to a member of the double value set.
static DblMatrix	DblMatrix.sec(DblMatrix Y)
static DblMatrix	DblMatrix.sech(DblMatrix Y)
void	DblMatrix.setCol(DblMatrix INPUT, DblMatrix Col) Set a particular col.
void	DblMatrix.setCol(DblMatrix INPUT, int col) Set a particular col.
void	DblMatrix.setDblAt(DblMatrix VALUE, int k) Set scalar DblMatrix at a particular index.
void	DblMatrix.setDiag(DblMatrix vector) Set main diagonal elements of a 2D matrix.
void	DblMatrix.setDiag(DblMatrix vector, int diag) Set elements of specified diagonal of a 2D matrix.
void	DblMatrix.setMap(DblMatrix X, DblMatrix MAP) Set values in a matrix based on a logical map.
void	DblMatrix.setMap(double X, DblMatrix MAP) Set values in a matrix based on a logical map.
void	DblMatrix.setMap(java.lang.Double X, DblMatrix MAP) Set values in a matrix based on a logical map.
void	DblParamSet.setParam(java.lang.String name, DblMatrix value)
void	DblMatrix.setRow(DblMatrix INPUT, DblMatrix Row) Set a particular row.
void	DblMatrix.setRow(DblMatrix INPUT, int row) Set a particular row.
void	DblMatrix.setSubMatrix(DblMatrix INPUT, Subscript[] subscripts) Set a matrix of values within an existing matrix.
void	NamedColumnMapping.setVar(DblMatrix W, java.lang.String name, DblMatrix V) Sets the column of the input matrix according to the current variable name mapping.
static DblMatrix	DblMatrix.sign(DblMatrix X) Sign returns 1 if X is greater than 0, 0 if X equals zero and -1 if X is less than zero.
static DblMatrix	DblMatrix.sign(DblMatrix X, DblMatrix Y) Returns sign transfer function.
static DblMatrix	DblMatrix.signum(DblMatrix Y)
static DblMatrix	DblMatrix.sin(DblMatrix Y)
static DblMatrix	DblMatrix.sinh(DblMatrix Y)
static DblMatrix	DblMatrix.span(DblMatrix A, DblMatrix B, int N) Create a vector that spans an upper and lower value using N steps.
static DblMatrix[]	DblMatrix.spanningSetFor(DblMatrix N) Find a spanning set of unit vectors for the given normal vector.
static DblMatrix	DblMatrix.sqrt(DblMatrix Y)
static DblMatrix	DblMatrix.std(DblMatrix X)
static DblMatrix	DblMatrix.Std(DblMatrix X) Calculate the grand sample standard deviation (over all elements) Calculates (SUM(X^2)-(1/N)(SUM(X))^2)/(N-1).
static DblMatrix	DblMatrix.subtract(double X, DblMatrix Y)
static DblMatrix	DblMatrix.subtract(int X, DblMatrix Y)
static DblMatrix	DblMatrix.Sum(DblMatrix X) Calculate the grand sum (over all elements)
static DblMatrix	DblMatrix.sum(DblMatrix X, int dim) Sum along the dimension dim.
static DblMatrix	DblMatrix.tan(DblMatrix Y) Returns the trigonometric tangent of an angle.
static DblMatrix	DblMatrix.tanh(DblMatrix Y) Returns the hyperbolic tangent of a double value.
static boolean	DblMatrix.test(DblMatrix X) Determine if contents of DblMatrix are equal to 1.
DblMatrix	DblMatrix.times(DblMatrix X)
DblParamSet	DblParamSet.times(DblMatrix X) Multiply parameter sets by scalar.
DblMatrix	SblMatrix.times(DblMatrix X)
static DblMatrix[]	DblMatrix.toArray(DblMatrix INPUT, int dim) Convert the input DblMatrix to an array by "slicing" along the given dimension.
static DblMatrix	DblMatrix.toDegrees(DblMatrix Y) Converts an angle measured in radians to an approximately equivalent angle measured in degrees.
static DblMatrix	DblMatrix.toRadians(DblMatrix Y) Converts an angle measured in degrees to an approximately equivalent angle measured in radians.
static DblMatrix	DblMatrix.trace(DblMatrix X) Return the trace of the given matrix.
DblMatrix	DblMatrix.triBwdSub(DblMatrix x) Backward substitution using an upper triangular matrix.
static DblMatrix	DblMatrix.triBwdSub(DblMatrix R, DblMatrix x) Backward substitution using an upper triangular matrix.
DblMatrix	DblMatrix.triFwdSub(DblMatrix y) Solve a system of linear equations using forward-substitution.
static DblMatrix	DblMatrix.triFwdSub(DblMatrix R, DblMatrix x) Solve a system of linear equations using forward-substitution.
static DblMatrix	DblMatrix.tril(DblMatrix X) Get lower triangular portion of a matrix.
static DblMatrix	DblMatrix.tril(DblMatrix X, int diag) Get lower triangular portion of a matrix.
static DblMatrix	DblMatrix.triu(DblMatrix X) Get lower triangular portion of a matrix.
static DblMatrix	DblMatrix.triu(DblMatrix X, int diag) Get upper triangular portion of a matrix.
static DblMatrix	DblMatrix.ulp(DblMatrix Y)
static DblMatrix	DblMatrix.union(DblMatrix A, DblMatrix B)
static DblMatrix	DblMatrix.unique(DblMatrix X) Return unique elements as a DblMatrix column vector.
void	DataSet.updateFromDblMatrix(java.lang.String[] labels, DblMatrix cols)
void	DataSet.updateFromDblMatrix(java.lang.String[] labels, DblMatrix[] cols) Update the values in this DataSet based on the corresponding values in the given DblMatrices.
static DblMatrix	DblMatrix.Var(DblMatrix X) Calculate the grand sample variance (over all elements) Calculates (SUM(X^2)-(1/N)(SUM(X))^2)/(N-1).
static DblMatrix	DblMatrix.vec(DblMatrix Y)
static DblMatrix	DblMatrix.vnorm(DblMatrix u) Returns the vector norm (length) of the input vector.

Constructors in com.mockturtlesolutions.snifflib.datatypes with parameters of type DblMatrix

Constructor and Description
DblMatrix(DblMatrix X) This construction creates a new DblMatrix from an input DblMatrix.
DblMatrix(MatrixSetterGetter sg, DblMatrix X) This construction creates a new DblMatrix from an input DblMatrix.
DblMatrixHashMap(java.lang.String[] fieldnames, DblMatrix[] values)
DblParamSet(java.lang.String[] fieldnames, DblMatrix[] values) Define constructor for DblParamSet.
DblSort(DblMatrix X, int Dim)
DblSortUnit(DblMatrix X, DblMatrix Index)
SblMatrix(DblMatrix X)
Subscript(DblMatrix X) Create a Subscripts instance from a vector.

Uses of DblMatrix in com.mockturtlesolutions.snifflib.datatypes.database

Methods in com.mockturtlesolutions.snifflib.datatypes.database that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	DblMatrixTransferAgent.copyAsDblMatrix()
DblMatrix	DblMatrixSQL.copyAsDblMatrix() Copy the contents of this repository storage into a new DblMatrix.
DblMatrix	DblMatrixSQLite.copyAsDblMatrix() Copy the contents of this repository storage into a new DblMatrix.
DblMatrix	DblMatrixXML.copyAsDblMatrix()
DblMatrix	DblMatrixDOM.copyAsDblMatrix() Copy the contents of this repository storage into a new DblMatrix.
DblMatrix	DblMatrixStorage.copyAsDblMatrix() Copy the contents of this repository storage into a new DblMatrix.

Methods in com.mockturtlesolutions.snifflib.datatypes.database with parameters of type DblMatrix

Modifier and Type	Method and Description
void	DblMatrixTransferAgent.copyFromDblMatrix(DblMatrix x)
void	DblMatrixSQL.copyFromDblMatrix(DblMatrix x)
void	DblMatrixSQLite.copyFromDblMatrix(DblMatrix x)
void	DblMatrixXML.copyFromDblMatrix(DblMatrix x)
void	DblMatrixDOM.copyFromDblMatrix(DblMatrix x)
void	DblMatrixStorage.copyFromDblMatrix(DblMatrix x)

Uses of DblMatrix in com.mockturtlesolutions.snifflib.datatypes.workbench

Methods in com.mockturtlesolutions.snifflib.datatypes.workbench that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	MatrixStorageEditorFrame.copyAsDblMatrix()
DblMatrix	MatrixEditorFrame.getMatrix()
DblMatrix	MatrixEditorPanel.getMatrix()

Methods in com.mockturtlesolutions.snifflib.datatypes.workbench with parameters of type DblMatrix

Modifier and Type	Method and Description
void	MatrixStorageEditorFrame.copyFromDblMatrix(DblMatrix x)
void	MatrixEditorFrame.setMatrix(DblMatrix x)
void	MatrixEditorPanel.setMatrix(DblMatrix mat)

Uses of DblMatrix in com.mockturtlesolutions.snifflib.functions

Methods in com.mockturtlesolutions.snifflib.functions that return DblMatrix

Modifier and Type	Method and Description
abstract DblMatrix	AbstractFunction.getValueAt(DblMatrix X)
DblMatrix	UniUniFunction.getValueAt(DblMatrix[] X)
DblMatrix	MultiUniFunction.getValueAt(DblMatrix[] X)
abstract DblMatrix	AbstractFunction.getValueAt(DblMatrix[] X)
DblMatrix	UniUniFunction.getValueAt(double X)
DblMatrix	MultiUniFunction.getValueAt(double X)
DblMatrix	UniUniFunction.getValueAt(int X)
DblMatrix	MultiUniFunction.getValueAt(int X)

Methods in com.mockturtlesolutions.snifflib.functions with parameters of type DblMatrix

Modifier and Type	Method and Description
abstract DblMatrix	AbstractFunction.getValueAt(DblMatrix X)
DblMatrix	UniUniFunction.getValueAt(DblMatrix[] X)
DblMatrix	MultiUniFunction.getValueAt(DblMatrix[] X)
abstract DblMatrix	AbstractFunction.getValueAt(DblMatrix[] X)
void	UniUniFunction.plotOver(DblMatrix X) Eventually this will plot the data once we get some graphics going.
void	MultiUniFunction.plotOver(DblMatrix X) Eventually this will plot the data once we get some graphics going.
void	AbstractFunction.plotOver(DblMatrix X) Eventually this will plot the data once we get some graphics going.
void	UniMultiFunction.plotOver(DblMatrix[] X) Eventually this will plot the data once we get some graphics going.
void	MultiMultiFunction.plotOver(DblMatrix[] X) Eventually this will plot the data once we get some graphics going.
void	AbstractFunction.plotOver(DblMatrix[] X) Eventually this will plot the data once we get some graphics going.

Uses of DblMatrix in com.mockturtlesolutions.snifflib.functions.transcendental

Methods in com.mockturtlesolutions.snifflib.functions.transcendental that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	Log.getValueAt(DblMatrix X) Get value at given X.
DblMatrix	Exp.getValueAt(DblMatrix X) Get value at given X.
DblMatrix	Log10.getValueAt(DblMatrix X) Get value at given X.

Methods in com.mockturtlesolutions.snifflib.functions.transcendental with parameters of type DblMatrix

Modifier and Type	Method and Description
DblMatrix	Log.getValueAt(DblMatrix X) Get value at given X.
DblMatrix	Exp.getValueAt(DblMatrix X) Get value at given X.
DblMatrix	Log10.getValueAt(DblMatrix X) Get value at given X.

Uses of DblMatrix in com.mockturtlesolutions.snifflib.graphics

Fields in com.mockturtlesolutions.snifflib.graphics declared as DblMatrix

Modifier and Type	Field and Description
protected DblMatrix[]	SLCamera.cameraBasis
protected DblMatrix	SLAnnotation.directionReferencePoint
protected DblMatrix	SLCamera.focus
protected DblMatrix	SLCamera.phi
protected DblMatrix	SLCamera.psi
protected DblMatrix	SLCamera.theta
protected DblMatrix	DefaultReportInstance.time
protected DblMatrix	DefaultReportInstance.value
protected DblMatrix	SLAnnotation.xCoord
protected DblMatrix	SLCamera.XLim
protected DblMatrix	SLAnnotation.yCoord
protected DblMatrix	SLCamera.YLim
protected DblMatrix	SLAnnotation.zCoord
protected DblMatrix	SLCamera.ZLim

Methods in com.mockturtlesolutions.snifflib.graphics that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	SLAxes.getAxisHideThreshold()
DblMatrix[]	SLCamera.getCameraBasis()
DblMatrix	SLCamera.getCameraDirection() Returns a unit vector (centered at the origin) indicating the direction of the camera.
static DblMatrix	SLCamera.getCameraDirection(DblMatrix[] camBasis, DblMatrix camPos) Returns a unit vector (centered at the origin) indicating the direction of the camera.
DblMatrix	SLCamera.getCameraPosition()
DblMatrix	SLCamera.getCameraStarboardDirection() Returns a unit vector (centered at the origin) indicating the direction to the right of the camera.
static DblMatrix	SLCamera.getCameraStarboardDirection(DblMatrix[] camBasis, DblMatrix camPos) Returns a unit vector (centered at the origin) indicating the direction to the right of the camera.
DblMatrix	SLCamera.getCameraUpDirection() Returns a unit vector (centered at the origin) indicating the direction up from the camera.
static DblMatrix	SLCamera.getCameraUpDirection(DblMatrix[] camBasis, DblMatrix camPos) Returns a unit vector (centered at the origin) indicating the direction up from the camera.
DblMatrix	SLCamera.getCoordinate(double[] pixel) Return the actual coordinates for the given pixel.
DblMatrix	SLPolyRegion.getCoordinate(double[] pixel)
DblMatrix	SLLocator.getCoordinate(double[] pixel)
DblMatrix	SLAxes.getCoordinate(double[] pixel) Get the coordinate for the given screen pixel location.
DblMatrix	SLGrid.getCoordinate(double[] pixel)
DblMatrix	SLCamera.getCoordinate(int[] pixel) Return the actual coordinates for the given pixel.
DblMatrix	SLPolyRegion.getCoordinate(int[] pixel)
DblMatrix	SLLocator.getCoordinate(int[] pixel)
DblMatrix	SLAxes.getCoordinate(int[] pixel) Get the coordinate for the given screen pixel location.
DblMatrix	SLGrid.getCoordinate(int[] pixel)
DblMatrix	SLCamera.getDataUnitsPerPixel() This method does not adjust or account for digital zoom.
DblMatrix	SLCamera.getDigitalZoom()
DblMatrix	SLAnnotation.getDirectionReferencePoint()
DblMatrix	SLAxes.getExtentX() Gets the extent in the X-direction.
DblMatrix	SLAxes.getExtentY() Gets the extent in the Y-direction.
DblMatrix	SLAxes.getExtentZ() Gets the extent in the Z-direction.
DblMatrix	AxesRangeSelection.getLimits()
DblMatrix	LpregPanel.ResultsTab.getLineNoise()
DblMatrix	LpregPanel.ResultsTab.getMaxXBound()
DblMatrix	LpregPanel.ResultsTab.getMinXBound()
DblMatrix	LpregPanel.ResultsTab.InvOptObjective.getParam(java.lang.String name)
DblMatrix	FitFrameModel.getParam(java.lang.String p)
DblMatrix	SLCamera.getPhi()
DblMatrix	SLCamera.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLPolyRegion.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLLocator.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLAxes.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLGrid.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLCamera.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix	SLPolyRegion.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix	SLLocator.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix	SLAxes.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix	SLGrid.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix[]	LpregPanel.ResultsTab.getPoints()
DblMatrix	SLCamera.getPsi()
DblMatrix	SLAxes.getSceneCenter()
DblMatrix	SLStereoCameraGroup.getSeparation()
DblMatrix	LpregPanel.ResultsTab.getSmoothValue()
DblMatrix	SLCamera.getTheta()
DblMatrix	DefaultReportInstance.getTime()
DblMatrix	DefaultReportInstance.getValue()
DblMatrix	AxesRangeSelection.getValue()
DblMatrix	LpregPanel.ResultsTab.InvOptObjective.getValueAt(DblMatrix X)
DblMatrix	FitFrameModel.getValueAt(DblMatrix Y)
DblMatrix	LpregPanel.ResultsTab.InvOptObjective.getValueToMinimize()
DblMatrix	FitFrameModel.getValueToMinimize()
DblMatrix	FitFrameModel.getValueToOptimizeZoom()
DblMatrix	DefaultReporter.getVar(DblMatrix W, java.lang.String name) Gets the column of the input matrix according to the current variable name mapping.
DblMatrix[]	SLSurface.getVerticesAt(int index) Returns the vertices of the face at the given index.
DblMatrix	SLLine.getXBounds()
DblMatrix	SLSurface.getXBounds()
DblMatrix	SLComponent.getXBounds() This default implementation of getXBounds returns a vector of zeros, essentially giving the object a reported size of zero.
DblMatrix	SLPolyRegion.getXBounds()
DblMatrix	SLLegend.getXBounds()
DblMatrix	SLAnnotation.getXBounds()
DblMatrix	SLLine.getXData()
DblMatrix	Surface.getXData()
DblMatrix	SLSurface.getXData()
DblMatrix	SLLegend.getXData() Get the x-coordinate in data units of the upper left corner of the legend box.
DblMatrix	Line.getXData()
DblMatrix	SLAnnotation.getXData()
DblMatrix	SLCamera.getXDataUnitsPerPixel() This method does not adjust or account for digital zoom.
DblMatrix	SLCamera.getXLim()
DblMatrix	SLPolyRegion.getXLim()
DblMatrix	SLLocator.getXLim()
DblMatrix	SLAxes.getXLim()
DblMatrix	SLGrid.getXLim()
DblMatrix	Axes.getXRange()
DblMatrix	SLAxes.getXRange()
DblMatrix	SLLine.getYBounds()
DblMatrix	SLSurface.getYBounds()
DblMatrix	SLComponent.getYBounds() This default implementation of getYBounds returns a vector of zeros, essentially giving the object a reported size of zero.
DblMatrix	SLPolyRegion.getYBounds()
DblMatrix	SLLegend.getYBounds()
DblMatrix	SLAnnotation.getYBounds()
DblMatrix	SLLine.getYData()
DblMatrix	Surface.getYData()
DblMatrix	SLSurface.getYData()
DblMatrix	SLLegend.getYData()
DblMatrix	Line.getYData()
DblMatrix	SLAnnotation.getYData()
DblMatrix	SLCamera.getYDataUnitsPerPixel() This method does not adjust or account for digital zoom.
DblMatrix	SLCamera.getYLim()
DblMatrix	SLPolyRegion.getYLim()
DblMatrix	SLLocator.getYLim()
DblMatrix	SLAxes.getYLim()
DblMatrix	SLGrid.getYLim()
DblMatrix	Axes.getYRange()
DblMatrix	SLAxes.getYRange()
DblMatrix	SLLine.getZBounds()
DblMatrix	SLSurface.getZBounds()
DblMatrix	SLComponent.getZBounds() This default implementation of getZBounds returns a vector of zeros, essentially giving the object a reported size of zero.
DblMatrix	SLLegend.getZBounds()
DblMatrix	SLAnnotation.getZBounds()
DblMatrix	SLLine.getZData()
DblMatrix	Surface.getZData()
DblMatrix	SLSurface.getZData()
DblMatrix	Line.getZData()
DblMatrix	SLCamera.getZLim()
DblMatrix	SLPolyRegion.getZLim()
DblMatrix	SLLocator.getZLim()
DblMatrix	SLAxes.getZLim()
DblMatrix	SLGrid.getZLim()
DblMatrix	ZoomDialog.getZoomValue()
DblMatrix	Axes.getZRange()
DblMatrix	SLAxes.getZRange()
static DblMatrix	DefaultColorMapper.luminance(java.awt.Color color) Returns the approximate luminance of a Color.
static DblMatrix	SLCamera.rotatorFor(DblMatrix tt, DblMatrix U) Return in R a 3D rotation matrix that rotates an angle theta about the fixed unit vector u.

Methods in com.mockturtlesolutions.snifflib.graphics with parameters of type DblMatrix

Modifier and Type	Method and Description
boolean	SLPolyRegion.contains(DblMatrix coords) Determines whether the specified coordinates are inside this polygon.
static DblMatrix	SLCamera.getCameraDirection(DblMatrix[] camBasis, DblMatrix camPos) Returns a unit vector (centered at the origin) indicating the direction of the camera.
static DblMatrix	SLCamera.getCameraDirection(DblMatrix[] camBasis, DblMatrix camPos) Returns a unit vector (centered at the origin) indicating the direction of the camera.
static DblMatrix	SLCamera.getCameraStarboardDirection(DblMatrix[] camBasis, DblMatrix camPos) Returns a unit vector (centered at the origin) indicating the direction to the right of the camera.
static DblMatrix	SLCamera.getCameraStarboardDirection(DblMatrix[] camBasis, DblMatrix camPos) Returns a unit vector (centered at the origin) indicating the direction to the right of the camera.
static DblMatrix	SLCamera.getCameraUpDirection(DblMatrix[] camBasis, DblMatrix camPos) Returns a unit vector (centered at the origin) indicating the direction up from the camera.
static DblMatrix	SLCamera.getCameraUpDirection(DblMatrix[] camBasis, DblMatrix camPos) Returns a unit vector (centered at the origin) indicating the direction up from the camera.
java.awt.Color	ColorMapper.getColorFor(DblMatrix data)
java.awt.Color	DefaultColorMapper.getColorFor(DblMatrix data)
java.awt.Color	ColorMapper.getColorFor(DblMatrix[] data)
java.awt.Color	DefaultColorMapper.getColorFor(DblMatrix[] DATA) Colormapping to given data.
int[]	SLCamera.getPixel(DblMatrix cx, DblMatrix cy) Get the screen pixels of the given data (camera focus plane) coordinates using this SLLocator.
int[]	SLPolyRegion.getPixel(DblMatrix x, DblMatrix y)
int[]	SLLocator.getPixel(DblMatrix x, DblMatrix y)
int[]	SLAxes.getPixel(DblMatrix x, DblMatrix y)
int[]	SLGrid.getPixel(DblMatrix x, DblMatrix y)
int[]	SLCamera.getPixel(DblMatrix x, DblMatrix y, DblMatrix z)
int[]	SLPolyRegion.getPixel(DblMatrix x, DblMatrix y, DblMatrix z)
int[]	SLLocator.getPixel(DblMatrix x, DblMatrix y, DblMatrix z)
int[]	SLAxes.getPixel(DblMatrix x, DblMatrix y, DblMatrix z)
int[]	SLGrid.getPixel(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix	SLCamera.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLPolyRegion.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLLocator.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLAxes.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLGrid.getPixelAsDbl(DblMatrix x, DblMatrix y)
DblMatrix	SLCamera.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix	SLPolyRegion.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix	SLLocator.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix	SLAxes.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
DblMatrix	SLGrid.getPixelAsDbl(DblMatrix x, DblMatrix y, DblMatrix z)
float[]	SLCamera.getPixelAsFloat(DblMatrix x, DblMatrix y)
float[]	SLPolyRegion.getPixelAsFloat(DblMatrix x, DblMatrix y)
float[]	SLLocator.getPixelAsFloat(DblMatrix x, DblMatrix y)
float[]	SLAxes.getPixelAsFloat(DblMatrix x, DblMatrix y)
float[]	SLGrid.getPixelAsFloat(DblMatrix x, DblMatrix y)
float[]	SLCamera.getPixelAsFloat(DblMatrix x, DblMatrix y, DblMatrix z)
float[]	SLPolyRegion.getPixelAsFloat(DblMatrix x, DblMatrix y, DblMatrix z)
float[]	SLLocator.getPixelAsFloat(DblMatrix x, DblMatrix y, DblMatrix z)
float[]	SLAxes.getPixelAsFloat(DblMatrix x, DblMatrix y, DblMatrix z)
float[]	SLGrid.getPixelAsFloat(DblMatrix x, DblMatrix y, DblMatrix z)
int[]	SLCamera.getScreenPixel(DblMatrix cx, DblMatrix cy) Get the physical screen pixels of the given data (camera focus plane) coordinates using this SLLocator.
DblMatrix	LpregPanel.ResultsTab.InvOptObjective.getValueAt(DblMatrix X)
DblMatrix	FitFrameModel.getValueAt(DblMatrix Y)
DblMatrix	DefaultReporter.getVar(DblMatrix W, java.lang.String name) Gets the column of the input matrix according to the current variable name mapping.
void	SLCamera.lookAt(DblMatrix lba) Rotate the view of the camera so that it is looking at the given coordinates.
Line[]	SnifflibGraphics.mplot(DblMatrix X, DblMatrix Y) Plot columns of 2D matrix Y versus the single column vector in X.
SLLine	SLAxes.newLine(DblMatrix x, DblMatrix y) Adds a new SLLine to the this SLAxes.
SLLine	SLAxes.newLine(DblMatrix x, DblMatrix y, java.awt.Color col) Adds a new SLLine to the this SLAxes.
void	SLCamera.panAbout(DblMatrix reforigin, DblMatrix deltatheta) Pans the camera horizontally relative to a reference point.
void	SLCamera.panAbout(DblMatrix reforigin, DblMatrix deltatheta, DblMatrix deltaphi) Pans the camera relative to a reference point.
void	SLCamera.panAbout(DblMatrix reforigin, DblMatrix deltatheta, DblMatrix deltaphi, DblMatrix deltarho) Pans the camera relative to a reference point.
Line	SnifflibGraphics.plot(DblMatrix Y)
Line	SnifflibGraphics.plot(DblMatrix X, DblMatrix Y)
void	SLCamera.putInFrameUsing(DblMatrix direction) Moves camera parallel to the given vector (anchored at the origin) until all components are "in frame".
static DblMatrix	SLCamera.rotatorFor(DblMatrix tt, DblMatrix U) Return in R a 3D rotation matrix that rotates an angle theta about the fixed unit vector u.
void	SLAxes.setAxisHideThreshold(DblMatrix c)
void	SLBarChart.setBarData(DblMatrix orgins, DblMatrix extents)
void	SLCamera.setCameraPosition(DblMatrix x)
void	DefaultColorMapper.setColorMap(java.awt.Color[] vals, DblMatrix data)
void	SLHistogram.setData(DblMatrix dat)
void	SLCamera.setDigitalZoom(DblMatrix x)
void	SLAnnotation.setDirectionReferencePoint(DblMatrix c)
void	SLAxes.setExtentX(DblMatrix ex)
void	SLAxes.setExtentY(DblMatrix ex)
void	SLAxes.setExtentZ(DblMatrix ex)
void	SLLegend.setLegendLocation(DblMatrix xdata, DblMatrix ydata)
void	SLLine.setLineDash(DblMatrix dashpattern)
void	SLHistogram.setLowerBinLimit(DblMatrix x)
void	ColorMapper.setMaxValue(DblMatrix val)
void	DefaultColorMapper.setMaxValue(DblMatrix val)
void	ColorMapper.setMinValue(DblMatrix val)
void	DefaultColorMapper.setMinValue(DblMatrix val)
void	LpregPanel.ResultsTab.InvOptObjective.setParam(java.lang.String name, DblMatrix value)
void	FitFrameModel.setParam(java.lang.String p, DblMatrix b)
void	SLCamera.setPhi(DblMatrix x) Sets the angle of rotation away from the z-axis.
void	SLCamera.setPsi(DblMatrix x) Sets the angle of axial rotation of the camera.
void	SLStereoCameraGroup.setSeparation(DblMatrix c)
void	SLCamera.setTheta(DblMatrix x) Sets the angle of rotation away from the x-axis.
void	DefaultReportInstance.setTime(DblMatrix S)
void	SLHistogram.setUpperBinLimit(DblMatrix x)
void	DefaultReportInstance.setValue(DblMatrix S)
void	AxesRangeSelection.setValue(DblMatrix val)
void	DefaultReporter.setVar(DblMatrix W, java.lang.String name, DblMatrix V) Sets the column of the input matrix according to the current variable name mapping.
void	SLLine.setXData(DblMatrix X)
void	Surface.setXData(DblMatrix X)
void	SLPolyRegion.setXData(DblMatrix X)
void	Line.setXData(DblMatrix X)
void	SLAnnotation.setXData(DblMatrix x)
void	SLAxes.setXLim(DblMatrix xlim)
void	SLLine.setYData(DblMatrix Y)
void	Surface.setYData(DblMatrix Y)
void	SLPolyRegion.setYData(DblMatrix Y)
void	Line.setYData(DblMatrix Y)
void	SLAnnotation.setYData(DblMatrix y)
void	SLAxes.setYLim(DblMatrix ylim)
void	SLLine.setZData(DblMatrix Z)
void	Surface.setZData(DblMatrix Z)
void	SLPolyRegion.setZData(DblMatrix Z)
void	Line.setZData(DblMatrix Z)
void	ZoomDialog.setZoomValue(DblMatrix z)
Surface	SnifflibGraphics.surface(DblMatrix X)
Surface	SnifflibGraphics.surface(DblMatrix X, DblMatrix Y, DblMatrix Z)
static void	SLCamera.updateCameraBasis(DblMatrix[] camBasis, DblMatrix Phi, DblMatrix Theta, DblMatrix Psi, DblMatrix Position)
static void	SLCamera.updateCameraBasis(DblMatrix[] camBasis, DblMatrix Phi, DblMatrix Theta, DblMatrix Psi, DblMatrix Position)
void	GnuplotSnifflibGraphicsFilter.writeDataBlock(DblMatrix X)
void	GnuplotSnifflibGraphicsFilter.writeDataBlock(DblMatrix X, DblMatrix Y)
void	GnuplotSnifflibGraphicsFilter.writeDataBlock(DblMatrix X, DblMatrix Y, DblMatrix Z)

Constructors in com.mockturtlesolutions.snifflib.graphics with parameters of type DblMatrix

Constructor and Description
DefaultColorMapper(DblMatrix low, DblMatrix high)
LpregPanel.ResultsTab(java.lang.String tab, DblMatrix[] Xin, DblMatrix Yin)
LpregPanel.ResultsTab(java.lang.String tab, DblMatrix[] Xin, DblMatrix Yin)
SLGradientPaint(SLLocator locat, DblMatrix coords1, java.awt.Color col1, DblMatrix coords2, java.awt.Color col2) Creates a 2-color linear gradient between the two given data coordinates.
SLLinearGradientPaint(SLLocator locat, DblMatrix star, DblMatrix sto, DblMatrix frac, java.awt.Color[] colrs, java.awt.MultipleGradientPaint.CycleMethod meth) Creates a 2-color linear gradient between the two given data coordinates.
SLRadialGradientPaint(SLLocator locat, DblMatrix cent, DblMatrix rad, DblMatrix foc, DblMatrix frac, java.awt.Color[] colrs, java.awt.MultipleGradientPaint.CycleMethod meth) Creates a 2-color linear gradient between the two given data coordinates.
SLSurface(SLComponent parent, DblMatrix X, DblMatrix Y, DblMatrix Z)
SLSurface(SLLocator locator, SLComponent parent, DblMatrix X, DblMatrix Y, DblMatrix Z)
SLTexturePaint(SLLocator locat, DblMatrix origin, DblMatrix wid, DblMatrix heig, java.awt.image.BufferedImage ture) Creates a texture paint.

Uses of DblMatrix in com.mockturtlesolutions.snifflib.guitools.components

Methods in com.mockturtlesolutions.snifflib.guitools.components that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	NamedParameterNode.getParameterValue()

Methods in com.mockturtlesolutions.snifflib.guitools.components with parameters of type DblMatrix

Modifier and Type	Method and Description
void	NamedParameterNode.setParameterValue(DblMatrix x)

Constructors in com.mockturtlesolutions.snifflib.guitools.components with parameters of type DblMatrix

Constructor and Description
NamedParameterNode(java.lang.String domain, DblMatrix param)
NamedParameterNode(java.lang.String domain, java.lang.String imagepath, DblMatrix value)

Uses of DblMatrix in com.mockturtlesolutions.snifflib.integration

Fields in com.mockturtlesolutions.snifflib.integration declared as DblMatrix

Modifier and Type	Field and Description
DblMatrix	OdeSet.absTol
protected DblMatrix	InterpolationQueue.desiredT
DblMatrix	OdeReporter.EventTimeTrace
DblMatrix	OdeReporter.EventTrace
DblMatrix	OdeSet.initDt
DblMatrix	OdeSet.initY
protected DblMatrix	OdeReporter.LastT
DblMatrix	OdeSet.maxDt
DblMatrix	OdeSet.minDt
DblMatrix	OdeReporter.nextInterpT
protected DblMatrix	InterpolationQueue.predictedY
DblMatrix	OdeSet.relTol
protected DblMatrix	OdeUpdate.suggestedNextInterval
protected DblMatrix	AbstractOdeSolver.T
protected DblMatrix	BasicODE.T
protected DblMatrix	Ode.T
protected DblMatrix	OdeReporter.T4Interp
DblMatrix	OdeSet.timePoints
DblMatrix	OdeReporter.TInterp
protected DblMatrix	AbstractOdeSolver.tnew
protected DblMatrix	OdeUpdate.Tnew
protected DblMatrix	AbstractOdeSolver.tnow
DblMatrix	OdeSet.tStart
DblMatrix	OdeSet.tStop
DblMatrix	OdeReporter.TTrace
DblMatrix	AbstractOdeSolver.Interp1D.X
protected DblMatrix	PointWiseQuadratureAlgorithm.XData
protected DblMatrix	AbstractOdeSolver.Y
DblMatrix	AbstractOdeSolver.Interp1D.Y
protected DblMatrix	BasicODE.Y
protected DblMatrix	Ode.Y
protected DblMatrix	OdeReporter.Y4Interp
protected DblMatrix	PointWiseQuadratureAlgorithm.YData
protected DblMatrix	OdeUpdate.Yerr
protected DblMatrix	AbstractOdeSolver.ynew
protected DblMatrix	OdeUpdate.Ynew
protected DblMatrix	AbstractOdeSolver.ynow
DblMatrix	OdeReporter.YTrace

Methods in com.mockturtlesolutions.snifflib.integration that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	OdeSet.getAbsoluteTolerance()
DblMatrix	Logistic.getDeriv()
DblMatrix	BasicODE.getDeriv()
DblMatrix	Exponential.getDeriv()
abstract DblMatrix	Ode.getDeriv()
DblMatrix	BasicODE.getDerivChk()
DblMatrix	Ode.getDerivChk() Returns the current derivative (or rhs) but also checks for reasonableness of the answer.
DblMatrix	AbstractOdeSolver.getDesiredAccuracy(DblMatrix Yold, DblMatrix Ynow, DblMatrix dT) Standard methods for determining a desired accuracy for a solution of a single integration step.
DblMatrix	OdeUpdate.getError()
DblMatrix	OdeReporter.getEvent()
DblMatrix	BasicODE.getEvents()
DblMatrix	Ode.getEvents()
DblMatrix	OdeReporter.getEventTime()
DblMatrix	NumericDeriv.getHessian(DblMatrix dependents) Calculate mixed partial derivatives of components of the VectorValued response with respect to perturbations in the components of an input DblMatrix.
DblMatrix	OdeSet.getInitialTimeStep()
DblMatrix	OdeSet.getInitialValue()
DblMatrix	DataQuad.getIntegral() Get the integral
DblMatrix	TrapzAnalyticQuadratureAlgorithm.getIntegral() Get the integral
DblMatrix	TrapzPointWiseQuadratureAlgorithm.getIntegral() Get the integral
DblMatrix	FunQuad.getIntegral() Get the integral
DblMatrix	SimpAnalyticQuadratureAlgorithm.getIntegral() Get the integral
DblMatrix	QuadratureAlgorithm.getIntegral() Get the integral
abstract DblMatrix	PointWiseQuadratureAlgorithm.getIntegral() Get the integral
abstract DblMatrix	AnalyticQuadratureAlgorithm.getIntegral() Get the integral
DblMatrix	NumericDeriv.getJacobian(DblMatrix dependents) Calculate partial derivative of each component of the VectorValued response with respect to perturbations in the components of an input DblMatrix.
DblMatrix	BasicODE.getJacobn()
DblMatrix	Ode.getJacobn()
DblMatrix	BasicODE.getJacobnPattern()
DblMatrix	Ode.getJacobnPattern()
DblMatrix	DataQuad.getLowerLimit() Get the lower limit of integration.
DblMatrix	FunQuad.getLowerLimit() Get the lower limit of integration.
DblMatrix	QuadratureAlgorithm.getLowerLimit() Get the lower limit of integration.
DblMatrix	PointWiseQuadratureAlgorithm.getLowerLimit() Get the lower limit of integration.
DblMatrix	AnalyticQuadratureAlgorithm.getLowerLimit() Get the lower limit of integration.
DblMatrix	OdeSet.getMaxTimeStep()
DblMatrix	OdeSet.getMinTimeStep()
DblMatrix	BasicODE.getParam(java.lang.String name)
DblMatrix	Ode.getParam(java.lang.String name)
DblMatrix	OdeModel.getPredictionAt(DblMatrix[] X) Returns null if solution fails or could not be obtained.
DblMatrix	OdeSet.getRelativeTolerance()
DblMatrix	OdeSet.getStartTime()
DblMatrix	OdeSet.getStopTime()
DblMatrix	OdeUpdate.getSuggestedNextInterval()
DblMatrix	AbstractOdeSolver.getT()
DblMatrix	OdeReporter.getT()
DblMatrix	OdeReporter.TraceQueueElement.getT()
DblMatrix	OdeSolution.getT()
DblMatrix	BasicODE.getT()
DblMatrix	InterpolationQueue.getT()
DblMatrix	Ode.getT()
DblMatrix	OdeSolver.getT()
DblMatrix	OdeSet.getTimePoints()
DblMatrix	OdeUpdate.getTnew()
DblMatrix	AnalyticQuadratureAlgorithm.getTolerance()
DblMatrix	DataQuad.getUpperLimit() Get the upper limit of integration.
DblMatrix	FunQuad.getUpperLimit() Get the upper limit of integration.
DblMatrix	QuadratureAlgorithm.getUpperLimit() Get the upper limit of integration.
DblMatrix	PointWiseQuadratureAlgorithm.getUpperLimit() Get the upper limit of integration.
DblMatrix	AnalyticQuadratureAlgorithm.getUpperLimit() Get the upper limit of integration.
DblMatrix	BasicODE.getValue()
DblMatrix	Ode.getValue()
DblMatrix	Ode.getValueAt(DblMatrix X) This is provided for compatability with the AbstractFunction.
DblMatrix	Ode.getValueAt(DblMatrix[] X) This is provided for compatability with the AbstractFunction.
DblMatrix	Ode.getVar(DblMatrix W, java.lang.String name) Gets the column of the input matrix according to the current variable name mapping.
DblMatrix	Ode.getVar(java.lang.String name) Gets the column of the Y field according to the current variable name mapping.
DblMatrix	PointWiseQuadratureAlgorithm.getXData() Get the coordinate being integrated.
DblMatrix	AbstractOdeSolver.getY()
DblMatrix	OdeReporter.getY()
DblMatrix	OdeReporter.TraceQueueElement.getY()
DblMatrix	OdeSolution.getY()
DblMatrix	BasicODE.getY()
DblMatrix	InterpolationQueue.getY()
DblMatrix	Ode.getY()
DblMatrix	OdeSolver.getY()
DblMatrix	PointWiseQuadratureAlgorithm.getYData() Get the response being integrated.
DblMatrix	OdeUpdate.getYnew()
DblMatrix	AbstractOdeSolver.Interp1D.predict(DblMatrix XX)

Methods in com.mockturtlesolutions.snifflib.integration with parameters of type DblMatrix

Modifier and Type	Method and Description
void	InterpolationQueue.addData(DblMatrix T, DblMatrix Y)
void	OdeReporter.addToEventsTrace(DblMatrix T, DblMatrix Event)
void	OdeReporter.addToSolutionTrace(DblMatrix T, DblMatrix Y)
DblMatrix	AbstractOdeSolver.getDesiredAccuracy(DblMatrix Yold, DblMatrix Ynow, DblMatrix dT) Standard methods for determining a desired accuracy for a solution of a single integration step.
DblMatrix	NumericDeriv.getHessian(DblMatrix dependents) Calculate mixed partial derivatives of components of the VectorValued response with respect to perturbations in the components of an input DblMatrix.
DblMatrix	NumericDeriv.getJacobian(DblMatrix dependents) Calculate partial derivative of each component of the VectorValued response with respect to perturbations in the components of an input DblMatrix.
DblMatrix	OdeModel.getPredictionAt(DblMatrix[] X) Returns null if solution fails or could not be obtained.
DblMatrix	Ode.getValueAt(DblMatrix X) This is provided for compatability with the AbstractFunction.
DblMatrix	Ode.getValueAt(DblMatrix[] X) This is provided for compatability with the AbstractFunction.
DblMatrix	Ode.getVar(DblMatrix W, java.lang.String name) Gets the column of the input matrix according to the current variable name mapping.
DblMatrix	AbstractOdeSolver.Interp1D.predict(DblMatrix XX)
void	OdeSet.setAbsouteTolerance(DblMatrix abs)
void	OdeUpdate.setError(DblMatrix E) Generally it is best for a step integrator to implment its own error estimation.
void	OdeSet.setInitialTimeStep(DblMatrix Tstep) Some solvers may use this while others may not need or use it.
void	OdeSet.setInitialValue(DblMatrix init)
void	DataQuad.setLowerLimit(DblMatrix L) Set the lower limit of integration.
void	FunQuad.setLowerLimit(DblMatrix L) Set the lower limit of integration.
void	QuadratureAlgorithm.setLowerLimit(DblMatrix L) Set the lower limit of integration.
void	PointWiseQuadratureAlgorithm.setLowerLimit(DblMatrix L) Set the lower limit of integration.
void	AnalyticQuadratureAlgorithm.setLowerLimit(DblMatrix L) Set the lower limit of integration.
void	OdeSet.setMaxTimeStep(DblMatrix Tstep) Some solvers may use this while others may not need or use it.
void	OdeSet.setMinTimeStep(DblMatrix Tstep)
void	BasicODE.setParam(java.lang.String name, DblMatrix value)
void	Ode.setParam(java.lang.String name, DblMatrix value)
void	OdeSet.setRelativeTolerance(DblMatrix rel)
void	OdeSet.setStartTime(DblMatrix start)
void	OdeSet.setStopTime(DblMatrix stop)
void	OdeUpdate.setSuggestedNextInterval(DblMatrix dT)
void	OdeReporter.TraceQueueElement.setT(DblMatrix T)
void	BasicODE.setT(DblMatrix T) This sets the T pointer of the model to the input DblMatrix.
void	Ode.setT(DblMatrix T) This sets the T pointer of the model to the input DblMatrix.
void	InterpolationQueue.setTimePoints(DblMatrix desired)
void	OdeSet.setTimePoints(DblMatrix t)
void	OdeReporter.setTInterp(DblMatrix T)
void	OdeUpdate.setTnew(DblMatrix tnew)
void	AnalyticQuadratureAlgorithm.setTolerance(DblMatrix T)
void	DataQuad.setUpperLimit(DblMatrix U) Set the upper limit of integration.
void	FunQuad.setUpperLimit(DblMatrix U) Set the upper limit of integration.
void	QuadratureAlgorithm.setUpperLimit(DblMatrix U) Set the upper limit of integration.
void	PointWiseQuadratureAlgorithm.setUpperLimit(DblMatrix U) Set the upper limit of integration.
void	AnalyticQuadratureAlgorithm.setUpperLimit(DblMatrix U) Set the upper limit of integration.
void	Ode.setVar(DblMatrix W, java.lang.String name, DblMatrix V) Sets the column of the input matrix according to the current variable name mapping.
void	Ode.setVar(java.lang.String name, DblMatrix val) Change the current values of the state variables according to the current variable name mapping.
void	PointWiseQuadratureAlgorithm.setXData(DblMatrix X) Set the coordinate data being integrated.
void	OdeReporter.TraceQueueElement.setY(DblMatrix Y)
void	BasicODE.setY(DblMatrix Y) This sets the Y pointer of the model to the input DblMatrix.
void	Ode.setY(DblMatrix Y) This sets the Y pointer of the model to the input DblMatrix.
void	PointWiseQuadratureAlgorithm.setYData(DblMatrix Y) Set the response data being integrated.
void	OdeUpdate.setYnew(DblMatrix ynew)

Constructors in com.mockturtlesolutions.snifflib.integration with parameters of type DblMatrix

Constructor and Description
AbstractOdeSolver.Interp1D(DblMatrix X, DblMatrix Y)
AbstractOdeSolver.Interp1D(DblMatrix X, DblMatrix Y, java.lang.String method)
DataQuad(DblMatrix Y) Integrate Y assuming X has unit spacing.
DataQuad(DblMatrix X, DblMatrix Y) Integrate Y given the abscissae in X.
DataQuad(DblMatrix X, DblMatrix Y, DblMatrix L, DblMatrix U) Integrate function from the upper to the lower limit of integration.
DataQuad(DblMatrix X, DblMatrix Y, double L, double U) Integrate function from the upper to the lower limit of integration.
DataQuad(DblMatrix X, DblMatrix Y, int L, int U) Integrate data from the upper to the lower limit of integration.
FunQuad(AbstractFunction FUN, DblMatrix L, DblMatrix U) Integrate function from the upper to the lower limit of integration.
OdeModel(OdeSolver s, DblMatrix[] X, DblMatrix Y)
OdeModel(OdeSolver s, DblMatrix[] X, DblMatrix Y)
OdeReporter.TraceQueueElement(DblMatrix T, DblMatrix Y)
PointWiseQuadratureAlgorithm(DblMatrix X, DblMatrix Y)
TrapzPointWiseQuadratureAlgorithm(DblMatrix X, DblMatrix Y)

Uses of DblMatrix in com.mockturtlesolutions.snifflib.invprobs

Fields in com.mockturtlesolutions.snifflib.invprobs declared as DblMatrix

Modifier and Type	Field and Description
DblMatrix	Lpreg.Alpha
DblMatrix	LpregDiagnostics.beta
protected DblMatrix	Polint.C
protected DblMatrix	Polint.D
DblMatrix	LpregDiagnostics.design
protected DblMatrix	Pzextr.dY
protected DblMatrix	Polint.dY
DblMatrix	GCVSmoothMethod.InitialSmoothParameter
protected DblMatrix	Pzextr.lastx
DblMatrix	Lpreg.Model
DblMatrix	LpregDiagnostics.pbias
DblMatrix[]	LpregDiagnostics.pci
DblMatrix	LpregDiagnostics.pcov
DblMatrix	Lpreg.PilotNWRSS
protected DblMatrix	Pzextr.qcol
DblMatrix	Lpreg.RemTerms
DblMatrix	Lpreg.RobustTol
DblMatrix	Lpreg.RWeights
DblMatrix	AbstractSmoothMethod.SmoothParameter
DblMatrix[]	Lpreg.sufficientX
DblMatrix	Lpreg.sufficientY
protected DblMatrix	NMSimplex.Temperature
DblMatrix	ParameterValuePair.Value
DblMatrix[]	Lpreg.X
protected DblMatrix	Dbracket.X
protected DblMatrix	Pzextr.X
protected DblMatrix	Interp1D.X
DblMatrix	LpregDiagnostics.y
DblMatrix	Lpreg.Y
protected DblMatrix	Pzextr.Y
protected DblMatrix	Polint.Y
protected DblMatrix	Interp1D.Y
protected DblMatrix	Interp1D.Yerr
protected DblMatrix	Interp1D.Yhat
protected DblMatrix	Pzextr.yz

Methods in com.mockturtlesolutions.snifflib.invprobs that return DblMatrix

Modifier and Type	Method and Description
static DblMatrix	DistributedStatisticalModel.convertStringToDbl(java.lang.String in)
DblMatrix	Lpreg.derivative(DblMatrix[] xx, int v)
DblMatrix	KernelDensityEstimator.derivative(DblMatrix[] xx, int v) Return the derivative of the density.
DblMatrix	Lpreg.derivative(DblMatrix xx, int v)
DblMatrix	Lpreg.derivativeSingleThread(DblMatrix[] xx, int v) Predict derivative at the points in xx;
DblMatrix	Lpreg.derivativeSingleThread(DblMatrix xx, int v)
DblMatrix	SimulatedAnnealing.evaluateTemperature()
DblMatrix	DiffEvol.evaluateTemperature()
DblMatrix	NMSimplex.evaluateTemperature() Determine the temperature for a simulated annealing schedule.
DblMatrix	MetropolisHastings.getAlpha()
DblMatrix	MCMCSampler.getAlpha()
abstract DblMatrix	AbstractBandwidthMethod.getBandwidth(Lpreg Reg, DblMatrix X)
DblMatrix	BandwidthMethod.getBandwidth(Lpreg reg, DblMatrix xx)
DblMatrix	NNBandwidth.getBandwidth(Lpreg Reg, DblMatrix thisxx)
DblMatrix	DiffEvol.getBestValue() Get the scalar value at the estimated parameter value.
abstract DblMatrix	VisualScalarOptimizer.getBestValue() Get the scalar value at the estimated parameter value.
DblMatrix	NMSimplex.getBestValue() Get the scalar value at the estimated parameter value.
DblMatrix	LpregDiagnostics.getBeta()
DblMatrix	BatesWatts.getBoxPctBias()
DblMatrix[]	KernelDensityEstimator.getConfidenceRegion(DblMatrix prob) Returns the lower and upper limits of the (approximately symmetric) density region having the requested area.
DblMatrix	LpregDiagnostics.getDesign()
DblMatrix	DistributedStatisticalModel.getDistributedParam(java.lang.String paramname)
DblMatrix	Pzextr.getError() Return the estimated error of extrapolation.
DblMatrix	Interp1D.getError() Return the estimated error in prediction.
DblMatrix	NMSimplex.getFitnessValue(DblParamSet param) Get the fitness value for a particular parameter set.
DblMatrix	Lpreg.getGCV()
DblMatrix	Lpreg.getHat(DblMatrix[] xx)
DblMatrix	BatesWatts.getIN()
DblMatrix	InitialConditionSource.getInitialConditionFor(java.lang.String varname)
DblMatrix	DefaultInitialConditionSource.getInitialConditionFor(java.lang.String varname)
DblMatrix	FixedSmoothMethod.getLastSmoothParameter() Convenience method returning the fixed smooth parameter.
DblMatrix	GCVSmoothMethod.getLastSmoothParameter()
DblMatrix	PenalizedLikelihood.getLikelihoodPenalty()
DblMatrix	MetropolisHastings.getLogBayesFactor()
DblMatrix	MCMCSampler.getLogBayesFactor()
DblMatrix	ScalarRootLocator.getLowerBound()
DblMatrix	BatesWatts.getMaxIN()
DblMatrix	BatesWatts.getMaxPE()
DblMatrix	Optimizable.getMinimizationValues()
DblMatrix	ProposalDistribution.getMixingParam(java.lang.String name)
DblMatrix	AbstractProposalDistribution.getMixingParam(java.lang.String name)
DblMatrix	Lpreg.getModel() Return the current linear model specification.
DblMatrix	StatisticalModel.getMSE() Returns the MSE.
DblMatrix	KernelDensityEstimator.getNormalizingConstant() Estimates the density integral between the minimum and maximum data points.
DblMatrix	KernelDensityEstimator.getNormalizingConstant(DblMatrix L, DblMatrix U) Estimates the un-normalized density integral between the given lower and upper limits.
DblMatrix	StatisticalModel.getParam(java.lang.String name)
DblMatrix	DistributedStatisticalModel.getParam(java.lang.String name)
DblMatrix	KernelDensityEstimator.ConfidenceRegionObjective.getParam(java.lang.String name)
DblMatrix	MyQuadratic.getParam(java.lang.String name)
DblMatrix	NamedParameters.getParam(java.lang.String name)
DblMatrix	AbstractSimplexObjective.getParam(java.lang.String p)
DblMatrix	DistributedStatisticalModel.getParamSuper(java.lang.String name) Provides access to the StatisticalModel super class method getParam.
DblMatrix	BatesWatts.getPE()
DblMatrix	PenalizedLikelihood.getPenalizedLikelihood()
DblMatrix	StatisticalModel.getPosteriorParam(java.lang.String name)
DblMatrix	LpregDiagnostics.getPredBias()
DblMatrix[]	LpregDiagnostics.getPredCI()
DblMatrix	Interp1D.getPrediction() Return the prediction.
abstract DblMatrix	StatisticalModel.getPredictionAt(DblMatrix[] X)
DblMatrix	GaussianProposal.getPredictionAt(DblMatrix[] X)
DblMatrix	LpregDiagnostics.getPredVar()
DblMatrix	StatisticalModel.getPriorParam(java.lang.String name)
DblMatrix	PriorProbability.getPriorProbability()
DblMatrix	PosteriorProbability.getPriorProbability()
DblMatrix	ScalarRootLocator.getResult() Get the root of the function located between the specified lower and upper bounds.
DblMatrix	SmoothMethod.getSmoothParameter(Lpreg Reg, DblMatrix xx)
abstract DblMatrix	AbstractSmoothMethod.getSmoothParameter(Lpreg Reg, DblMatrix xx)
DblMatrix	FixedSmoothMethod.getSmoothParameter(Lpreg reg, DblMatrix thisxx)
DblMatrix	GCVSmoothMethod.getSmoothParameter(Lpreg reg, DblMatrix thisxx) Since the GCV smoothing parameter is global the specified coordinates are ignored.
DblMatrix	SumOfSquares.getSumOfSquares()
DblMatrix	ScalarRootLocator.getTargetValue()
DblMatrix	SimulatedAnnealing.getTemperature()
DblMatrix	DiffEvol.getTemperature()
DblMatrix	NMSimplex.getTemperature() Get a temperature for a simulated annealing schedule.
DblMatrix	ScalarRootLocator.getTolerance()
DblMatrix	ScalarRootLocator.getUpperBound()
DblMatrix	VectorValued.getValue()
DblMatrix	StatisticalModel.getValueAt(DblMatrix Y)
DblMatrix	KernelDensityEstimator.ConfidenceRegionObjective.getValueAt(DblMatrix X)
DblMatrix	OptimizableScalar.getValueAt(DblMatrix Y)
DblMatrix	MyQuadratic.getValueAt(DblMatrix x)
DblMatrix	AbstractSimplexObjective.getValueAt(DblMatrix Y)
DblMatrix	StatisticalModel.getValueAt(DblMatrix[] X)
DblMatrix	StatisticalModel.getValueAt(DblParamSet P)
DblMatrix	StatisticalModel.getValueToMinimize()
DblMatrix	KernelDensityEstimator.ConfidenceRegionObjective.getValueToMinimize()
DblMatrix	OptimizableScalar.getValueToMinimize()
DblMatrix	MyQuadratic.getValueToMinimize()
abstract DblMatrix	AbstractSimplexObjective.getValueToMinimize()
DblMatrix	WeightAlgorithm.getWeight(DblMatrix D) Get the weight of a particular value.
abstract DblMatrix	AbstractWeightAlgorithm.getWeight(DblMatrix D) Get the weight of a particular value.
DblMatrix	UniformWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	Weight.getWeight(DblMatrix D)
DblMatrix	NormalWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	StdRobustWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	TricubeWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	TriweightWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	EpanechnikovWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	BiweightWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix[]	StatisticalModel.getX()
DblMatrix[]	Lpreg.getXdata()
abstract DblMatrix[]	AbstractBandwidthMethod.getXlocal()
DblMatrix[]	BandwidthMethod.getXlocal()
DblMatrix[]	NNBandwidth.getXlocal()
DblMatrix	StatisticalModel.getY()
DblMatrix	LpregDiagnostics.getY()
DblMatrix	Lpreg.getYdata()
abstract DblMatrix	AbstractBandwidthMethod.getYlocal()
DblMatrix	BandwidthMethod.getYlocal()
DblMatrix	NNBandwidth.getYlocal()
DblMatrix	StatisticalModel.likelihood() Returns the default likelihood of zero.
DblMatrix	Likelihood.likelihood() Return the likelihood evaluated for the given DataSet.
static DblMatrix	Lpreg.modelDesign(DblMatrix[] X, DblMatrix model) Create a design matrix from a model matrix.
DblMatrix	StatisticalModel.negLogLikelihood() Returns the default negative log likelihood of INF.
DblMatrix	Likelihood.negLogLikelihood() Return the negative of the log-likelihood evaluated at the given Y values.
DblMatrix	BayesianLinear.negLogLikelihood()
DblMatrix	GCVSmoothMethod.optimize(Lpreg reg)
DblMatrix	Lpreg.predict(DblMatrix xx)
DblMatrix	KernelDensityEstimator.predict(DblMatrix xx)
DblMatrix	Lpreg.predict(DblMatrix[] xx)
DblMatrix	KernelDensityEstimator.predict(DblMatrix[] xx)
DblMatrix[]	Polint.predictAt(DblMatrix xx) Make a Nth order polynomial interpolation (or extrapolation) at the given data point.
DblMatrix	Pzextr.predictAtZero() Extrapolate to zero.
DblMatrix	Lpreg.predictConcurrent(DblMatrix xx)
DblMatrix	Lpreg.predictConcurrent(DblMatrix[] xx)
DblMatrix	Lpreg.predictSingleThread(DblMatrix[] xx)
DblMatrix	KernelDensityEstimator.predictUnNormalized(DblMatrix xx)
DblMatrix	KernelDensityEstimator.predictUnNormalized(DblMatrix[] xx) Predicts the density at the given value(s).
DblMatrix	Lpreg.regress(DblMatrix Y, DblMatrix Design) Solve least squares problem using QR decomposition.
DblMatrix	StatisticalModel.residuals() Returns the default residual of zero.
DblMatrix	StatisticalModel.sumNegLogLikelihood() Return the sum of the negative log likelihood

Methods in com.mockturtlesolutions.snifflib.invprobs with parameters of type DblMatrix

Modifier and Type	Method and Description
void	Pzextr.addToLowest(DblMatrix xest, DblMatrix yest) Propagate tableau.
int[]	Dbracket.bracket(DblMatrix xx) Find a bracketing interval about a given data point.
static java.lang.String	DistributedStatisticalModel.convertDblToString(DblMatrix in)
protected void	DistributedStatisticalModel.declareDistributedParameter(java.lang.String p, DblMatrix v)
protected boolean	DistributedStatisticalModel.declareIfNotDistributedParameter(java.lang.String p, DblMatrix v)
protected boolean	StatisticalModel.declareIfNotParameter(java.lang.String p, DblMatrix v) Convenience method that declares a parameter and sets a initial (default) value for that parameter only if the parameter is not already declared.
protected boolean	StatisticalModel.declareIfNotPriorParameter(java.lang.String p, DblMatrix v) Convenience method that declares a parameter and sets a initial (default) value for that parameter only if the parameter is not already declared.
void	StatisticalModel.declareParameter(java.lang.String p, DblMatrix v) Convenience method that declares a parameter and sets a initial (default) value for that parameter.
void	DistributedStatisticalModel.declareParameter(java.lang.String p, DblMatrix v)
void	DistributedStatisticalModel.declareParameterSuper(java.lang.String p, DblMatrix v)
protected void	StatisticalModel.declarePriorParameter(java.lang.String p, DblMatrix v) Convenience method that declares a parameter and sets a initial (default) value for that parameter.
DblMatrix	Lpreg.derivative(DblMatrix[] xx, int v)
DblMatrix	KernelDensityEstimator.derivative(DblMatrix[] xx, int v) Return the derivative of the density.
DblMatrix	Lpreg.derivative(DblMatrix xx, int v)
DblMatrix	Lpreg.derivativeSingleThread(DblMatrix[] xx, int v) Predict derivative at the points in xx;
DblMatrix	Lpreg.derivativeSingleThread(DblMatrix xx, int v)
LpregDiagnostics	Lpreg.diagnosticsSingleThread(DblMatrix[] xx)
LpregDiagnostics	Lpreg.diagnosticsSingleThread(DblMatrix[] xx, int v) Get diagnostics for the prediction of the vth derivative.
abstract DblMatrix	AbstractBandwidthMethod.getBandwidth(Lpreg Reg, DblMatrix X)
DblMatrix	BandwidthMethod.getBandwidth(Lpreg reg, DblMatrix xx)
DblMatrix	NNBandwidth.getBandwidth(Lpreg Reg, DblMatrix thisxx)
int[]	Dbracket.getCenteredWindow(DblMatrix xx, int m) Return a window of m points centered about the value X.
DblMatrix[]	KernelDensityEstimator.getConfidenceRegion(DblMatrix prob) Returns the lower and upper limits of the (approximately symmetric) density region having the requested area.
DblMatrix	Lpreg.getHat(DblMatrix[] xx)
DblMatrix	KernelDensityEstimator.getNormalizingConstant(DblMatrix L, DblMatrix U) Estimates the un-normalized density integral between the given lower and upper limits.
abstract DblMatrix	StatisticalModel.getPredictionAt(DblMatrix[] X)
DblMatrix	GaussianProposal.getPredictionAt(DblMatrix[] X)
DblMatrix	SmoothMethod.getSmoothParameter(Lpreg Reg, DblMatrix xx)
abstract DblMatrix	AbstractSmoothMethod.getSmoothParameter(Lpreg Reg, DblMatrix xx)
DblMatrix	FixedSmoothMethod.getSmoothParameter(Lpreg reg, DblMatrix thisxx)
DblMatrix	GCVSmoothMethod.getSmoothParameter(Lpreg reg, DblMatrix thisxx) Since the GCV smoothing parameter is global the specified coordinates are ignored.
DblMatrix	StatisticalModel.getValueAt(DblMatrix Y)
DblMatrix	KernelDensityEstimator.ConfidenceRegionObjective.getValueAt(DblMatrix X)
DblMatrix	OptimizableScalar.getValueAt(DblMatrix Y)
DblMatrix	MyQuadratic.getValueAt(DblMatrix x)
DblMatrix	AbstractSimplexObjective.getValueAt(DblMatrix Y)
DblMatrix	StatisticalModel.getValueAt(DblMatrix[] X)
DblMatrix	WeightAlgorithm.getWeight(DblMatrix D) Get the weight of a particular value.
abstract DblMatrix	AbstractWeightAlgorithm.getWeight(DblMatrix D) Get the weight of a particular value.
DblMatrix	UniformWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	Weight.getWeight(DblMatrix D)
DblMatrix	NormalWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	StdRobustWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	TricubeWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	TriweightWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	EpanechnikovWeightAlgorithm.getWeight(DblMatrix D)
DblMatrix	BiweightWeightAlgorithm.getWeight(DblMatrix D)
int[]	Dbracket.hunt(DblMatrix xx) Return a single index bracket of a scalar X.
static DblMatrix	Lpreg.modelDesign(DblMatrix[] X, DblMatrix model) Create a design matrix from a model matrix.
static DblMatrix	Lpreg.modelDesign(DblMatrix[] X, DblMatrix model) Create a design matrix from a model matrix.
DblMatrix	Lpreg.predict(DblMatrix xx)
DblMatrix	KernelDensityEstimator.predict(DblMatrix xx)
DblMatrix	Lpreg.predict(DblMatrix[] xx)
DblMatrix	KernelDensityEstimator.predict(DblMatrix[] xx)
DblMatrix[]	Polint.predictAt(DblMatrix xx) Make a Nth order polynomial interpolation (or extrapolation) at the given data point.
void	Interp1D.predictAt(DblMatrix xx) Make predictions at points in vector by polynomial interpolation (or extrapolation).
DblMatrix	Lpreg.predictConcurrent(DblMatrix xx)
DblMatrix	Lpreg.predictConcurrent(DblMatrix[] xx)
DblMatrix	Lpreg.predictSingleThread(DblMatrix[] xx)
DblMatrix	KernelDensityEstimator.predictUnNormalized(DblMatrix xx)
DblMatrix	KernelDensityEstimator.predictUnNormalized(DblMatrix[] xx) Predicts the density at the given value(s).
DblMatrix	Lpreg.regress(DblMatrix Y, DblMatrix Design) Solve least squares problem using QR decomposition.
void	LpregDiagnostics.setBeta(DblMatrix in)
void	KernelDensityEstimator.setData(DblMatrix X) Assumes a univariate density.
void	KernelDensityEstimator.setData(DblMatrix[] X) Assumes a (possibly) multivariate density.
void	Lpreg.setData(DblMatrix[] Xin, DblMatrix Yin)
void	Lpreg.setData(DblMatrix[] Xin, DblMatrix Yin)
void	LpregDiagnostics.setDesign(DblMatrix in)
void	DistributedStatisticalModel.setDistributedParam(java.lang.String paramname, DblMatrix value)
void	GCVSmoothMethod.setInitialSmoothParameter(DblMatrix S)
void	GaussianProposal.setLogNormal(java.lang.String param, DblMatrix mixing) Sets up the given parameter to be sampled from a Log-Normal distribution with the given standard deviation.
void	ScalarRootLocator.setLowerBound(DblMatrix x)
void	ProposalDistribution.setMixingParam(java.lang.String name, DblMatrix x)
void	AbstractProposalDistribution.setMixingParam(java.lang.String name, DblMatrix x)
void	Lpreg.setModel(DblMatrix m) Set the current linear model specification.
void	GaussianProposal.setOrderRestriction(java.lang.String[] ord_params, DblMatrix mixing)
void	StatisticalModel.setParam(java.lang.String name, DblMatrix value)
void	DistributedStatisticalModel.setParam(java.lang.String name, DblMatrix value)
void	KernelDensityEstimator.ConfidenceRegionObjective.setParam(java.lang.String name, DblMatrix value)
void	MyQuadratic.setParam(java.lang.String name, DblMatrix value)
void	NamedParameters.setParam(java.lang.String name, DblMatrix value)
void	AbstractSimplexObjective.setParam(java.lang.String p, DblMatrix b)
void	DistributedStatisticalModel.setParamSuper(java.lang.String name, DblMatrix value) Provides access to the StatisticalModel super class method setParam.
void	StatisticalModel.setPosteriorParam(java.lang.String name, DblMatrix value)
void	LpregDiagnostics.setPredBias(DblMatrix in)
void	LpregDiagnostics.setPredCI(DblMatrix[] ci)
void	LpregDiagnostics.setPredVar(DblMatrix in)
void	StatisticalModel.setPriorParam(java.lang.String name, DblMatrix value)
void	FixedSmoothMethod.setSmoothParameter(DblMatrix S)
void	GCVSmoothMethod.setSmoothParameter(DblMatrix S)
void	ScalarRootLocator.setTargetValue(DblMatrix c)
void	SimulatedAnnealing.setTemperature(DblMatrix temp)
void	DiffEvol.setTemperature(DblMatrix temp)
void	NMSimplex.setTemperature(DblMatrix temp) Set a temperature for a simulated annealing schedule.
void	ScalarRootLocator.setTolerance(DblMatrix x)
void	ScalarRootLocator.setUpperBound(DblMatrix x)
void	StatisticalModel.setX(DblMatrix[] X)
void	StatisticalModel.setY(DblMatrix Y)
void	LpregDiagnostics.setY(DblMatrix in)
boolean	DblParamSetSimplex.smallerDiameter(DblMatrix tol) Calculate diameter of parameter values.

Constructors in com.mockturtlesolutions.snifflib.invprobs with parameters of type DblMatrix

Constructor and Description
BatesWatts(StatisticalModel FUN, DblMatrix MSE)
Dbracket(DblMatrix X) Construct a bracketing
FixedSmoothMethod(Lpreg S, DblMatrix Init)
GCVSmoothMethod(Lpreg S, DblMatrix Init)
Interp1D(DblMatrix X, DblMatrix Y) Construct an interpolation object for 1D linear interpolation.
Interp1D(DblMatrix X, DblMatrix Y, int order) Construct an interpolation object for 1D interpolation at specified order.
KernelDensityEstimator.ConfidenceRegionObjective(DblMatrix prob)
Lpreg(DblMatrix[] Xin, DblMatrix Yin) Basic constructor
Lpreg(DblMatrix[] Xin, DblMatrix Yin) Basic constructor
Lpreg(DblMatrix Xin, DblMatrix Yin)
ParameterValuePair(DblParamSet P, DblMatrix X)
Polint(DblMatrix X, DblMatrix Y) Construct a Polint object for column vector X and matrix Y.
ScalarRootLocator(OptimizableScalar ff, DblMatrix x1, DblMatrix x2)
ScalarRootLocator(OptimizableScalar ff, DblMatrix x1, DblMatrix x2, DblMatrix tol)
StatisticalModel(DblMatrix[] X, DblMatrix Y)
StatisticalModel(DblMatrix[] X, DblMatrix Y)

Uses of DblMatrix in com.mockturtlesolutions.snifflib.linalg

Methods in com.mockturtlesolutions.snifflib.linalg that return DblMatrix

Modifier and Type	Method and Description
static DblMatrix	CholFact.Chol(DblMatrix A) Cholesky decomposition Returns lower triangular matrix L such that input matrix A = L*L'.
static DblMatrix	CholFact.CholBksb(DblMatrix L, DblMatrix b) Cholesky back-substitution.
DblMatrix	SVDFact.conditionNumber()
DblMatrix	SVDAlgorithm.conditionNumber() Returns the condition number of the decomposed matrix.
abstract DblMatrix	AbstractSVDAlgorithm.conditionNumber() Returns the condition number of the decomposed matrix.
DblMatrix	NRSVDAlgorithm.conditionNumber()
static DblMatrix	VectorNorm.EuclidNorm(DblMatrix X) Euclidean vector norm
DblMatrix	NRQRAlgorithm.getA()
DblMatrix	NRQRAlgorithm.getD()
DblMatrix	NRQRAlgorithm.getFullQ() Returns an m-by-m Q matrix when the matrix being decomposed was m-by-n.
DblMatrix	QRAlgorithm.getFullQ() Get the orthogonal matrix Q of the QR decomposition.
abstract DblMatrix	AbstractQRAlgorithm.getFullQ()
DblMatrix	SparseHHQRAlgorithm.getFullQ()
DblMatrix	QRFact.getFullQ()
DblMatrix	ModiClarkeQRAlgorithm.getFullQ()
DblMatrix	NRQRAlgorithm.getFullR() Returns an m-by-n R matrix when the matrix being decomposed was m-by-n.
DblMatrix	QRAlgorithm.getFullR() Get the lower triangular matrix R of the QR decomposition.
abstract DblMatrix	AbstractQRAlgorithm.getFullR() Get the lower triangular matrix R of the QR decomposition.
DblMatrix	SparseHHQRAlgorithm.getFullR()
DblMatrix	QRFact.getFullR()
DblMatrix	ModiClarkeQRAlgorithm.getFullR()
abstract DblMatrix	AbstractLUAlgorithm.getL()
DblMatrix	LUFact.getL()
DblMatrix	NRLUAlgorithm.getL()
DblMatrix	LUAlgorithm.getL() Get the lower triangular L of the LU decomposition.
DblMatrix	VectorNormAlgorithm.getNorm(DblMatrix X)
DblMatrix	PVectorNormAlgorithm.getNorm(DblMatrix X) Return the norm.
DblMatrix	EuclideanVectorNormAlgorithm.getNorm(DblMatrix X) Return the norm.
DblMatrix	InfinityVectorNormAlgorithm.getNorm(DblMatrix X) Return the norm.
abstract DblMatrix	AbstractVectorNormAlgorithm.getNorm(DblMatrix X)
DblMatrix	VectorNorm.getNorm(DblMatrix X) Return the norm.
DblMatrix	OneVectorNormAlgorithm.getNorm(DblMatrix X) Return the norm.
DblMatrix	NRQRAlgorithm.getQ() Returns the economy sized m-by-n Q for the decomposition of an m-by-n matrix.
DblMatrix	QRAlgorithm.getQ() Get the orthogonal matrix Q of the QR decomposition.
abstract DblMatrix	AbstractQRAlgorithm.getQ()
DblMatrix	SparseHHQRAlgorithm.getQ()
DblMatrix	QRFact.getQ()
DblMatrix	ModiClarkeQRAlgorithm.getQ()
DblMatrix	NRQRAlgorithm.getR() Get the upper triangular matrix R of the QR decomposition.
DblMatrix	QRAlgorithm.getR() Get the lower triangular matrix R of the QR decomposition.
abstract DblMatrix	AbstractQRAlgorithm.getR() Get the lower triangular matrix R of the QR decomposition.
DblMatrix	SparseHHQRAlgorithm.getR()
DblMatrix	QRFact.getR()
DblMatrix	ModiClarkeQRAlgorithm.getR()
DblMatrix	SVDFact.getU()
abstract DblMatrix	AbstractLUAlgorithm.getU() Get the upper triangular matrix U of the LU decomposition.
DblMatrix	SVDAlgorithm.getU() Get an orthonormal basis for the range of the decomposed matrix.
abstract DblMatrix	AbstractSVDAlgorithm.getU() Get an orthonormal basis for the range of the decomposed matrix.
DblMatrix	LUFact.getU()
DblMatrix	NRLUAlgorithm.getU()
DblMatrix	NRSVDAlgorithm.getU()
DblMatrix	LUAlgorithm.getU() Get the upper triangular matrix U of the LU decomposition.
DblMatrix	SVDFact.getV()
DblMatrix	SVDAlgorithm.getV() Get an orthonormal basis for the nullspace of the decomposed matrix.
abstract DblMatrix	AbstractSVDAlgorithm.getV() Get an orthonormal basis for the nullspace of the decomposed matrix.
DblMatrix	NRSVDAlgorithm.getV()
DblMatrix	SVDFact.getW()
DblMatrix	SVDAlgorithm.getW() Get the singular values of the matrix.
abstract DblMatrix	AbstractSVDAlgorithm.getW() Get the singular values of the matrix.
DblMatrix	NRSVDAlgorithm.getW()
static DblMatrix	VectorNorm.InfNorm(DblMatrix X) Infinity vector norm.
DblMatrix	SVDFact.nullspace() Return an orthonormal basis for the nullspace of the decomposed matrix.
DblMatrix	SVDAlgorithm.nullspace() Return an orthonormal basis for the nullspace of the decomposed matrix.
abstract DblMatrix	AbstractSVDAlgorithm.nullspace() Return an orthonormal basis for the nullspace of the decomposed matrix.
DblMatrix	NRSVDAlgorithm.nullspace()
static DblMatrix	NRSVDAlgorithm.nullspace(DblMatrix X)
static DblMatrix	VectorNorm.OneNorm(DblMatrix X) One vector norm
static DblMatrix	VectorNorm.PNorm(DblMatrix X, double P) P-vector norm
static DblMatrix	VectorNorm.PNorm(DblMatrix X, int P) P-vector norm
DblMatrix	NRQRAlgorithm.QtransDot(DblMatrix Y) Return the result of Q'*X for the input X.
DblMatrix	QRAlgorithm.QtransDot(DblMatrix Y) Multiply input by transpose of Q.
abstract DblMatrix	AbstractQRAlgorithm.QtransDot(DblMatrix X)
DblMatrix	SparseHHQRAlgorithm.QtransDot(DblMatrix X)
DblMatrix	QRFact.QtransDot(DblMatrix Y)
DblMatrix	ModiClarkeQRAlgorithm.QtransDot(DblMatrix X)
DblMatrix	NRQRAlgorithm.rsolve(DblMatrix Y) Solve the System R*b = Y for b given Y.
DblMatrix	NRQRAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	QRAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	SVDFact.solveSystem(DblMatrix Y)
abstract DblMatrix	AbstractQRAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
abstract DblMatrix	AbstractLUAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	SVDAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	SparseHHQRAlgorithm.solveSystem(DblMatrix X)
abstract DblMatrix	AbstractSVDAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	QRFact.solveSystem(DblMatrix Y)
DblMatrix	LUFact.solveSystem(DblMatrix b)
DblMatrix	NRLUAlgorithm.solveSystem(DblMatrix b) Solves the set of n linear equations A*X = B.
DblMatrix	ModiClarkeQRAlgorithm.solveSystem(DblMatrix X)
DblMatrix	NRSVDAlgorithm.solveSystem(DblMatrix b) Solves the systems A*x = b for given right hand side b.
DblMatrix	LUAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.

Methods in com.mockturtlesolutions.snifflib.linalg with parameters of type DblMatrix

Modifier and Type	Method and Description
static DblMatrix	CholFact.Chol(DblMatrix A) Cholesky decomposition Returns lower triangular matrix L such that input matrix A = L*L'.
static DblMatrix	CholFact.CholBksb(DblMatrix L, DblMatrix b) Cholesky back-substitution.
static DblMatrix	VectorNorm.EuclidNorm(DblMatrix X) Euclidean vector norm
DblMatrix	VectorNormAlgorithm.getNorm(DblMatrix X)
DblMatrix	PVectorNormAlgorithm.getNorm(DblMatrix X) Return the norm.
DblMatrix	EuclideanVectorNormAlgorithm.getNorm(DblMatrix X) Return the norm.
DblMatrix	InfinityVectorNormAlgorithm.getNorm(DblMatrix X) Return the norm.
abstract DblMatrix	AbstractVectorNormAlgorithm.getNorm(DblMatrix X)
DblMatrix	VectorNorm.getNorm(DblMatrix X) Return the norm.
DblMatrix	OneVectorNormAlgorithm.getNorm(DblMatrix X) Return the norm.
static DblMatrix	VectorNorm.InfNorm(DblMatrix X) Infinity vector norm.
static DblMatrix	NRSVDAlgorithm.nullspace(DblMatrix X)
static DblMatrix	VectorNorm.OneNorm(DblMatrix X) One vector norm
static DblMatrix	VectorNorm.PNorm(DblMatrix X, double P) P-vector norm
static DblMatrix	VectorNorm.PNorm(DblMatrix X, int P) P-vector norm
DblMatrix	NRQRAlgorithm.QtransDot(DblMatrix Y) Return the result of Q'*X for the input X.
DblMatrix	QRAlgorithm.QtransDot(DblMatrix Y) Multiply input by transpose of Q.
abstract DblMatrix	AbstractQRAlgorithm.QtransDot(DblMatrix X)
DblMatrix	SparseHHQRAlgorithm.QtransDot(DblMatrix X)
DblMatrix	QRFact.QtransDot(DblMatrix Y)
DblMatrix	ModiClarkeQRAlgorithm.QtransDot(DblMatrix X)
DblMatrix	NRQRAlgorithm.rsolve(DblMatrix Y) Solve the System R*b = Y for b given Y.
DblMatrix	NRQRAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	QRAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	SVDFact.solveSystem(DblMatrix Y)
abstract DblMatrix	AbstractQRAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
abstract DblMatrix	AbstractLUAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	SVDAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	SparseHHQRAlgorithm.solveSystem(DblMatrix X)
abstract DblMatrix	AbstractSVDAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.
DblMatrix	QRFact.solveSystem(DblMatrix Y)
DblMatrix	LUFact.solveSystem(DblMatrix b)
DblMatrix	NRLUAlgorithm.solveSystem(DblMatrix b) Solves the set of n linear equations A*X = B.
DblMatrix	ModiClarkeQRAlgorithm.solveSystem(DblMatrix X)
DblMatrix	NRSVDAlgorithm.solveSystem(DblMatrix b) Solves the systems A*x = b for given right hand side b.
DblMatrix	LUAlgorithm.solveSystem(DblMatrix Y) Solve a linear system (X*b = Y) returning the coeficients as a DblMatrix.

Constructors in com.mockturtlesolutions.snifflib.linalg with parameters of type DblMatrix

Constructor and Description
AbstractLUAlgorithm(DblMatrix X)
AbstractQRAlgorithm(DblMatrix X)
AbstractSVDAlgorithm(DblMatrix X)
CholFact(DblMatrix X) Default DblMatrix constructor.
LUFact(DblMatrix X) Construction using the default algorithm.
ModiClarkeQRAlgorithm(DblMatrix X)
NRLUAlgorithm(DblMatrix X)
NRQRAlgorithm(DblMatrix X) Construct with a DblMatrix.
NRSVDAlgorithm(DblMatrix ain)
QRFact(DblMatrix X) Construction using the default algorithm.
SparseHHQRAlgorithm(DblMatrix X)
SVDFact(DblMatrix X) Construction using the default algorithm.

Uses of DblMatrix in com.mockturtlesolutions.snifflib.mcmctools.workbench

Methods in com.mockturtlesolutions.snifflib.mcmctools.workbench that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	WedgePanel.runLikelihoodScript()

Uses of DblMatrix in com.mockturtlesolutions.snifflib.pde

Fields in com.mockturtlesolutions.snifflib.pde declared as DblMatrix

Modifier and Type	Field and Description
protected DblMatrix	AbstractInitialCondition.defaultValue
protected DblMatrix	AbstractDiffusionCoef.defaultValue
protected DblMatrix	AbstractDiffuse.dt
protected DblMatrix	NDGrid.LowerBounds
protected DblMatrix	AbstractDiffuse.time
protected DblMatrix	AbstractBoundaryValueProblem.time
protected DblMatrix	AbstractBoundaryValueProblem.tstep
protected DblMatrix	AbstractDiffuse.tstop
protected DblMatrix	AbstractDiffuse.u
protected DblMatrix	AbstractBoundaryValueProblem.u
protected DblMatrix	NDGrid.UpperBounds

Methods in com.mockturtlesolutions.snifflib.pde that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	AbstractInitialCondition.getCoef(DblMatrix X) Set the initial condition value.
DblMatrix	InitialCondition.getCoef(DblMatrix X) Get the values of the initial condition at the points in X.
DblMatrix	BoundsCoefInterface.getCoef(DblMatrix X) Get the values of the bounds coefficient at the points in X.
DblMatrix	InitialConditionInterface.getCoef(DblMatrix X) Get the values of the initial condition at the points in X.
DblMatrix	AbstractDiffusionCoef.getCoef(DblMatrix X, DblMatrix T) Set the diffusion coefficient value.
DblMatrix	DiffusionCoefInterface.getCoef(DblMatrix X, DblMatrix T) Get the values of the diffusion coefficient at the points in X.
DblMatrix[]	NDGrid.getCoords(int I) Get the coordinates according to this grid at index I.
DblMatrix[]	NDGrid.getCoords(Subscript[] coords) Get the coordinates according to this grid at index I.
DblMatrix	AbstractInitialCondition.getDefaultValue() Get the default value.
DblMatrix	AbstractDiffusionCoef.getDefaultValue() Get the default value.
DblMatrix	DiffusionCoefInterface.getDefaultValue() Get the default value.
DblMatrix	InitialCondition.getDefaultValue() Get the default value.
DblMatrix	BoundsCoefInterface.getDefaultValue() Get the default value.
DblMatrix	InitialConditionInterface.getDefaultValue() Get the default value.
DblMatrix	StrangStage.getFractionalStep() Returns the fraction of a time step for which this stage's solver should be run.
DblMatrix	NDGrid.getMinStep() Return the minimum step over all dimensions.
DblMatrix	AbstractDiffuse.getParam(java.lang.String name)
DblMatrix	BVP.getParam(java.lang.String name)
DblMatrix	Diffuse.getParam(java.lang.String name)
DblMatrix	StrangSplitter.getParam(java.lang.String name)
DblMatrix	AbstractBoundaryValueProblem.getParam(java.lang.String name)
DblMatrix	CrankNicholson.getRHSA()
DblMatrix	CrankNicholson.getRHSB()
DblMatrix	PartialDifferentialEquation.getSolution()
DblMatrix	AbstractDiffuse.getSolution() Returns the solution matrix after solving over the time interval.
DblMatrix	StrangStage.getSolution()
DblMatrix	BVP.getSolution()
DblMatrix	Diffuse.getSolution()
DblMatrix	StrangSplitter.getSolution()
DblMatrix	AbstractBoundaryValueProblem.getSolution()
DblMatrix	NDGrid.getSpatialStepAt(int index, int dimension, double perturb1, double perturb2) Gets the spatial step in dimension dim over index I as calculated as the difference in spatial locations X(d,I+p1)-X(d,I+p2).
DblMatrix	NDGrid.getSpatialStepAt(int index, int dimension, int perturb1, int perturb2) Gets the spatial step in dimension dim over index I as calculated as the sum across the two spatial steps h(d,I+p1)+h(d,I+p2).
DblMatrix	FractionalStep.getStep()
DblMatrix	StrangSplitter.getStep() Get the current time step.
DblMatrix	AbstractDiffuse.getTime()
DblMatrix	PdeReportInstance.getTime()
DblMatrix	StrangStage.getTime() Returns the fraction of a time step for which this stage's solver should be run.
DblMatrix	FractionalStep.getTime()
DblMatrix	StrangSplitter.getTime()
DblMatrix	AbstractBoundaryValueProblem.getTime()
DblMatrix	AbstractBoundaryValueProblem.getTimeStep()
DblMatrix	StrangSplitter.getTstart()
DblMatrix	StrangSplitter.getTstop()
DblMatrix	PdeReportInstance.getU()
DblMatrix[]	NDGrid.getUCoords(int I, int ghostpts) Gets spatial grid points corresponding to the values in U but adjusting for presence of ghost points.
DblMatrix[]	NDGrid.getUCoords(Subscript[] coords_in, int ghostpts) Gets spatial grid points corresponding to the values in U but adjusting for presence of ghost points.
DblMatrix	NDGrid.getUSpatialStepAt(int index, int dimension, double perturb1, double perturb2, int ghostpts)
DblMatrix	NDGrid.getUSpatialStepAt(int index, int dimension, int perturb1, int perturb2, int ghostpts)
abstract DblMatrix	AbstractBoundaryCondition.getValueAt(DblMatrix[] x)
abstract DblMatrix	AbstractDiffusionCoefficient.getValueAt(DblMatrix[] X)
DblMatrix	PDECoefficient.getValueAt(DblMatrix[] x)
DblMatrix	DiffusionCoefficient.getValueAt(DblMatrix[] X)
DblMatrix	NeummanCondition.getValueAt(DblMatrix[] x)
DblMatrix	DefaultDiffusionCoefficient.getValueAt(DblMatrix[] x)
DblMatrix	BoundaryValueCondition.getValueAt(DblMatrix[] x)
DblMatrix	DefaultBoundaryCondition.getValueAt(DblMatrix[] x)
DblMatrix	BoundaryCondition.getValueAt(DblMatrix[] X)
DblMatrix	BoundaryCoefficient.getValueAt(DblMatrix[] x)
DblMatrix	DirichletCondition.getValueAt(DblMatrix[] x)
abstract DblMatrix	AbstractBoundaryCondition.getValueAt(DblMatrix[] x, DblMatrix time)
abstract DblMatrix	AbstractDiffusionCoefficient.getValueAt(DblMatrix[] X, DblMatrix T)
DblMatrix	PDECoefficient.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DiffusionCoefficient.getValueAt(DblMatrix[] X, DblMatrix T)
DblMatrix	NeummanCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DefaultDiffusionCoefficient.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	BoundaryValueCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DefaultBoundaryCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	BoundaryCondition.getValueAt(DblMatrix[] X, DblMatrix T)
DblMatrix	BoundaryCoefficient.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DirichletCondition.getValueAt(DblMatrix[] x, DblMatrix time)

Methods in com.mockturtlesolutions.snifflib.pde with parameters of type DblMatrix

Modifier and Type	Method and Description
void	StrangSplitter.add(FractionalStep s, DblMatrix fractional) Add a StrangStage to the end of the queue.
void	StrangSplitter.add(FractionalStep s, DblMatrix fractional, int j) Insert a StrangStage at the jth position in the queue.
DblMatrix	AbstractInitialCondition.getCoef(DblMatrix X) Set the initial condition value.
DblMatrix	InitialCondition.getCoef(DblMatrix X) Get the values of the initial condition at the points in X.
DblMatrix	BoundsCoefInterface.getCoef(DblMatrix X) Get the values of the bounds coefficient at the points in X.
DblMatrix	InitialConditionInterface.getCoef(DblMatrix X) Get the values of the initial condition at the points in X.
DblMatrix	AbstractDiffusionCoef.getCoef(DblMatrix X, DblMatrix T) Set the diffusion coefficient value.
DblMatrix	DiffusionCoefInterface.getCoef(DblMatrix X, DblMatrix T) Get the values of the diffusion coefficient at the points in X.
abstract DblMatrix	AbstractBoundaryCondition.getValueAt(DblMatrix[] x)
abstract DblMatrix	AbstractDiffusionCoefficient.getValueAt(DblMatrix[] X)
DblMatrix	PDECoefficient.getValueAt(DblMatrix[] x)
DblMatrix	DiffusionCoefficient.getValueAt(DblMatrix[] X)
DblMatrix	NeummanCondition.getValueAt(DblMatrix[] x)
DblMatrix	DefaultDiffusionCoefficient.getValueAt(DblMatrix[] x)
DblMatrix	BoundaryValueCondition.getValueAt(DblMatrix[] x)
DblMatrix	DefaultBoundaryCondition.getValueAt(DblMatrix[] x)
DblMatrix	BoundaryCondition.getValueAt(DblMatrix[] X)
DblMatrix	BoundaryCoefficient.getValueAt(DblMatrix[] x)
DblMatrix	DirichletCondition.getValueAt(DblMatrix[] x)
abstract DblMatrix	AbstractBoundaryCondition.getValueAt(DblMatrix[] x, DblMatrix time)
abstract DblMatrix	AbstractBoundaryCondition.getValueAt(DblMatrix[] x, DblMatrix time)
abstract DblMatrix	AbstractDiffusionCoefficient.getValueAt(DblMatrix[] X, DblMatrix T)
abstract DblMatrix	AbstractDiffusionCoefficient.getValueAt(DblMatrix[] X, DblMatrix T)
DblMatrix	PDECoefficient.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	PDECoefficient.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DiffusionCoefficient.getValueAt(DblMatrix[] X, DblMatrix T)
DblMatrix	DiffusionCoefficient.getValueAt(DblMatrix[] X, DblMatrix T)
DblMatrix	NeummanCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	NeummanCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DefaultDiffusionCoefficient.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DefaultDiffusionCoefficient.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	BoundaryValueCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	BoundaryValueCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DefaultBoundaryCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DefaultBoundaryCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	BoundaryCondition.getValueAt(DblMatrix[] X, DblMatrix T)
DblMatrix	BoundaryCondition.getValueAt(DblMatrix[] X, DblMatrix T)
DblMatrix	BoundaryCoefficient.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	BoundaryCoefficient.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DirichletCondition.getValueAt(DblMatrix[] x, DblMatrix time)
DblMatrix	DirichletCondition.getValueAt(DblMatrix[] x, DblMatrix time)
void	AbstractInitialCondition.setDefaultValue(DblMatrix N) Set the default value.
void	AbstractDiffusionCoef.setDefaultValue(DblMatrix N) Set the default value.
void	DiffusionCoefInterface.setDefaultValue(DblMatrix N) Set the default value.
void	InitialCondition.setDefaultValue(DblMatrix N) Set the default value.
void	BoundsCoefInterface.setDefaultValue(DblMatrix N) Set the default value.
void	InitialConditionInterface.setDefaultValue(DblMatrix N) Set the default value.
void	StrangStage.setFractionalStep(DblMatrix fdt) Sets the fraction of a time step for which this stage's solver should be run.
void	StrangStage.setInitialCondition(DblMatrix c)
void	FractionalStep.setInitialCondition(DblMatrix u)
void	StrangSplitter.setInitialCondition(DblMatrix uu)
void	AbstractDiffuse.setParam(java.lang.String name, DblMatrix value)
void	BVP.setParam(java.lang.String name, DblMatrix value)
void	Diffuse.setParam(java.lang.String name, DblMatrix value)
void	StrangSplitter.setParam(java.lang.String name, DblMatrix value)
void	AbstractBoundaryValueProblem.setParam(java.lang.String name, DblMatrix value)
void	StrangStage.setStartTime(DblMatrix time)
void	StrangStage.setStep(DblMatrix dt)
void	FractionalStep.setStep(DblMatrix dt)
void	StrangSplitter.setStep(DblMatrix t) Set the time step.
void	AbstractDiffuse.setTime(DblMatrix t)
void	FractionalStep.setTime(DblMatrix dt)
void	StrangSplitter.setTime(DblMatrix t)
void	AbstractBoundaryValueProblem.setTime(DblMatrix t)
void	AbstractBoundaryValueProblem.setTimeStep(DblMatrix dt)
void	StrangSplitter.setTstart(DblMatrix t)
void	StrangSplitter.setTstop(DblMatrix t)

Constructors in com.mockturtlesolutions.snifflib.pde with parameters of type DblMatrix

Constructor and Description
AbstractDiffusionCoef(DblMatrix N)
AbstractInitialCondition(DblMatrix N)
Diffuse(NDGrid Grid, DblMatrix Tstart, DblMatrix Tstop) Instantiate a diffusion object by giving a grid and a starting and stopping time.
NDGrid(DblMatrix Xgrid) Construct a 1D grid using the given points as coordinate vector.
NDGrid(DblMatrix X, DblMatrix Y) Construct a 2D grid using the given points as coordinate vector.
NDGrid(DblMatrix X, DblMatrix Y, DblMatrix Z) Construct a 3D grid using the given points as coordinate vector.
NDGrid(DblMatrix L, DblMatrix U, int N) Creates Cartesean grid with N points in each dimension.
NDGrid(DblMatrix L, DblMatrix U, int[] N) Creates Cartesean grid with N[d] points in dimension d.
PdeReportInstance(NDGrid g, DblMatrix u, DblMatrix t)
StrangStage(FractionalStep s, DblMatrix fdt) Constructs a Strang splitting stage using fractional step solver s and fractional time step fdt.

Uses of DblMatrix in com.mockturtlesolutions.snifflib.spreadsheets

Methods in com.mockturtlesolutions.snifflib.spreadsheets that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	DefaultSpreadsheetPanel.getDblMatrixFor(java.lang.String range)
DblMatrix	MyrtleSheetAPI.getDblMatrixFor(java.lang.String str) Extracts a range of sheet cells' values interpreted as double's.
DblMatrix	DefaultSpreadsheetPanel.getDblMatrixForBookmark(java.lang.String mark)
DblMatrix	MyrtleSheetAPI.getDblMatrixForBookmark(java.lang.String range) Extracts a range of sheet cells' values interpreted as double's.
DblMatrix	DefaultSpreadsheetPanel.getDblMatrixForRange(java.lang.String range)
DblMatrix	MyrtleSheetAPI.getDblMatrixForRange(java.lang.String range) Extracts a range of sheet cells' values interpreted as double's.
DblMatrix	SpreadsheetEntryMatrix.getValuesAsDblMatrix()
static DblMatrix	SpreadsheetEntryMatrix.isNaN(SpreadsheetEntryMatrix X) Boolean isNaN
DblMatrix	DefaultSpreadsheetPanel.parseDblMatrix(java.lang.Object arg0)
static DblMatrix	AbstractReservedFunction.parseDblMatrix(java.lang.Object arg0, DefaultSpreadsheetPanel p)

Methods in com.mockturtlesolutions.snifflib.spreadsheets with parameters of type DblMatrix

Modifier and Type	Method and Description
static java.lang.String[][]	SpreadsheetEntryMatrix.getValuesAsStringMatrix(DblMatrix x)
void	DefaultSpreadsheetPanel.pasteDblMatrixAt(DblMatrix X, int startrow, int startcol)
void	DefaultSpreadsheetTable.pasteDblMatrixAt(DblMatrix X, int startrow, int startcol)
void	DefaultSpreadsheetPanel.pasteDblMatrixAt(DefaultSpreadsheetTable tabl, DblMatrix X, int startrow, int startcol)

Uses of DblMatrix in com.mockturtlesolutions.snifflib.stats

Methods in com.mockturtlesolutions.snifflib.stats that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	FCDF.cdf(DblMatrix X)
abstract DblMatrix	ProbabilityDensity.cdf(DblMatrix X)
DblMatrix	TDistribution.cdf(DblMatrix xx) CDF of the T distribution.
DblMatrix	NormalDistribution.cdf(DblMatrix xx) CDF of the Normal distribution.
DblMatrix	BernoulliDistribution.cdf(DblMatrix X)
DblMatrix	UniformDistribution.cdf(DblMatrix xx) CDF of the Normal distribution.
DblMatrix	DiscreteUniformDistribution.cdf(DblMatrix xx) CDF of the Normal distribution.
DblMatrix	GammaDistribution.cdf(DblMatrix xx) CDF of the Normal distribution.
DblMatrix	BinomialDistribution.cdf(DblMatrix X)
DblMatrix	FDistribution.cdf(DblMatrix F) CDF of the F distribution.
DblMatrix	ChiSqDistribution.cdf(DblMatrix xx) Returns the CDF of the Chi-Squared distribution.
DblMatrix	HypergeometricDistribution.cdf(DblMatrix xx) CDF of the Hypergeometric distribution.
DblMatrix	CDF.cdf(DblMatrix X)
DblMatrix	PoissonDistribution.cdf(DblMatrix X)
DblMatrix	NormalDistribution.cdf(double xx)
DblMatrix	NormalDistribution.cdf(java.lang.Double xx)
DblMatrix	ChiSqDistribution.cdf(java.lang.Double x) Returns the CDF of the Chi-Squared distribution.
DblMatrix	ChiSqDistribution.cdf(int x) Returns the CDF of the Chi-Squared distribution.
DblMatrix	HypergeometricDistribution.cdf(int xx) CDF of the Hypergeometric distribution.
abstract DblMatrix	ProbabilityDensity.criticalValue(DblMatrix Pvalue)
DblMatrix	TDistribution.criticalValue(DblMatrix cdfval) For an input value C returns x such that P(X<=x) = C.
DblMatrix	NormalDistribution.criticalValue(DblMatrix p) For an input value C returns x such that P(X<=x) = C.
DblMatrix	BernoulliDistribution.criticalValue(DblMatrix cdfvals)
DblMatrix	UniformDistribution.criticalValue(DblMatrix p) For an input value C returns x such that P(X<=x) = C.
DblMatrix	DiscreteUniformDistribution.criticalValue(DblMatrix p) For an input value C returns x such that P(X<=x) = C.
DblMatrix	GammaDistribution.criticalValue(DblMatrix cdfvals) For an input value C returns x such that P(X<=x) = C.
DblMatrix	BinomialDistribution.criticalValue(DblMatrix cdfval)
DblMatrix	FDistribution.criticalValue(DblMatrix cdfvals) For an input value C returns x such that P(X<=x) = C.
DblMatrix	ChiSqDistribution.criticalValue(DblMatrix cdfval) For an input value C returns x such that P(X<=x) = C.
DblMatrix	HypergeometricDistribution.criticalValue(DblMatrix cdfval) For an input value C returns x such that P(X<=x) = C.
DblMatrix	InvCDF.criticalValue(DblMatrix Pvalue)
DblMatrix	PoissonDistribution.criticalValue(DblMatrix cdfval)
DblMatrix	NormalDistribution.criticalValue(double xx)
DblMatrix	NormalDistribution.criticalValue(java.lang.Double xx)
DblMatrix	ProbabilityDensity.getAssumedProbability()
DblMatrix	ProbabilityDensity.getParam(java.lang.String name)
DblMatrix	FCDF.getPredictionAt(DblMatrix[] X)
DblMatrix	NormPDF.getPredictionAt(DblMatrix[] X)
DblMatrix	FCDF.getValueAt(DblMatrix F)
DblMatrix	ProbabilityDensity.getValueAt(DblMatrix X)
DblMatrix	NormPDF.getValueAt(DblMatrix X)
DblMatrix	ECDF.getValueAt(DblMatrix x)
DblMatrix	FCDF.getValueToMinimize() Returns the CDF at the current X value for the current parameter settings.
DblMatrix	ProbabilityDensity.getValueToMinimize()
DblMatrix	FCDF.getVariable()
DblMatrix	TDistribution.getVariable()
DblMatrix	NormalDistribution.getVariable()
DblMatrix	UniformDistribution.getVariable()
DblMatrix	GammaDistribution.getVariable()
DblMatrix	FDistribution.getVariable()
DblMatrix	ChiSqDistribution.getVariable()
DblMatrix	HypergeometricDistribution.getVariable()
DblMatrix	ProbabilityDensity.getVariableValue()
abstract DblMatrix	ProbabilityDensity.hasSupport(DblMatrix X) Returns 1 if the density has the input value in its support set (domain) and 0 otherwise.
DblMatrix	TDistribution.hasSupport(DblMatrix X)
DblMatrix	NormalDistribution.hasSupport(DblMatrix X)
DblMatrix	BernoulliDistribution.hasSupport(DblMatrix X)
DblMatrix	UniformDistribution.hasSupport(DblMatrix X)
DblMatrix	DiscreteUniformDistribution.hasSupport(DblMatrix X)
DblMatrix	GammaDistribution.hasSupport(DblMatrix X)
DblMatrix	BinomialDistribution.hasSupport(DblMatrix X)
DblMatrix	FDistribution.hasSupport(DblMatrix X)
DblMatrix	ChiSqDistribution.hasSupport(DblMatrix X)
DblMatrix	HypergeometricDistribution.hasSupport(DblMatrix X)
DblMatrix	PoissonDistribution.hasSupport(DblMatrix X)
DblMatrix	TDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	NormalDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	BernoulliDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	UniformDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	DiscreteUniformDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	GammaDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	FDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	ChiSqDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	HypergeometricDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	PoissonDistribution.mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	TDistribution.median() Returns the median of the distribution for the currently configured parameters.
DblMatrix	BernoulliDistribution.median() Returns the median of the distribution for the currently configured parameters.
DblMatrix	DiscreteUniformDistribution.median() Returns the median of the distribution for the currently configured parameters.
DblMatrix	GammaDistribution.median() Returns the median the distribution for the currently configured parameters.
DblMatrix	PoissonDistribution.median() Returns the median of the distribution for the currently configured parameters.
DblMatrix	TDistribution.mode() Returns the mode of the distribution for the currently configured parameters.
DblMatrix	BernoulliDistribution.mode() Returns the median of the distribution for the currently configured parameters.
DblMatrix	DiscreteUniformDistribution.mode() Returns the mode of the distribution for the currently configured parameters.
DblMatrix	GammaDistribution.mode() Returns the mode the distribution for the currently configured parameters.
DblMatrix	FDistribution.mode() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	ChiSqDistribution.mode() Returns the mode of the distribution for the currently configured parameters.
DblMatrix	HypergeometricDistribution.mode() Returns the mode of the distribution for the currently configured parameters.
DblMatrix	PoissonDistribution.mode() Returns the mode of the distribution for the currently configured parameters.
abstract DblMatrix	ProbabilityDensity.pdf(DblMatrix X)
DblMatrix	TDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	NormalDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	BernoulliDistribution.pdf(DblMatrix X)
DblMatrix	UniformDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	DiscreteUniformDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	GammaDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	BinomialDistribution.pdf(DblMatrix X)
DblMatrix	FDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	ChiSqDistribution.pdf(DblMatrix x) Returns the value of the density function at X.
DblMatrix	HypergeometricDistribution.pdf(DblMatrix R) Returns the value of the density function at X.
DblMatrix	PoissonDistribution.pdf(DblMatrix X)
DblMatrix	NormalDistribution.pdf(double xx)
DblMatrix	NormalDistribution.pdf(java.lang.Double xx)
DblMatrix	ChiSqDistribution.pdf(java.lang.Double x) Returns the PDF of the Chi-Squared distribution.
DblMatrix	ChiSqDistribution.pdf(int x) Returns the PDF of the Chi-Squared distribution.
DblMatrix	HypergeometricDistribution.pdf(int r) Returns the value of the density function at X.
DblMatrix	ProbabilityDensity.random(int N) Return N random draws from this distribution.
DblMatrix	TDistribution.random(int N) Return N random draws from this distribution.
DblMatrix	NormalDistribution.random(int N) Return N random draws from this distribution.
DblMatrix	BernoulliDistribution.random(int nn)
DblMatrix	UniformDistribution.random(int N) Return N random draws from this distribution.
DblMatrix	DiscreteUniformDistribution.random(int n) Return N random draws from this distribution.
DblMatrix	GammaDistribution.random(int N) Return N random draws from this distribution.
DblMatrix	BinomialDistribution.random(int nn)
DblMatrix	FDistribution.random(int N) Return N random draws from this distribution.
DblMatrix	ChiSqDistribution.random(int N) Return N random draws from this distribution.
DblMatrix	HypergeometricDistribution.random(int n) Return N random draws from this distribution.
DblMatrix	PoissonDistribution.random(int nn)
DblMatrix	UniformDistribution.random(int[] N) Return matrix of the given size containing random draws from this distribution.
DblMatrix	TDistribution.variance() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	NormalDistribution.variance() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	BernoulliDistribution.variance() Returns the variance of the distribution for the currently configured parameters.
DblMatrix	UniformDistribution.variance() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	DiscreteUniformDistribution.variance() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	GammaDistribution.variance() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	FDistribution.variance() Returns the variance of the distribution for the currently configured parameters.
DblMatrix	ChiSqDistribution.variance() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	HypergeometricDistribution.variance() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	PoissonDistribution.variance() Returns the variance of the distribution for the currently configured parameters.

Methods in com.mockturtlesolutions.snifflib.stats with parameters of type DblMatrix

Modifier and Type	Method and Description
void	ProbabilityDensity.assumeProbability(DblMatrix a)
DblMatrix	FCDF.cdf(DblMatrix X)
abstract DblMatrix	ProbabilityDensity.cdf(DblMatrix X)
DblMatrix	TDistribution.cdf(DblMatrix xx) CDF of the T distribution.
DblMatrix	NormalDistribution.cdf(DblMatrix xx) CDF of the Normal distribution.
DblMatrix	BernoulliDistribution.cdf(DblMatrix X)
DblMatrix	UniformDistribution.cdf(DblMatrix xx) CDF of the Normal distribution.
DblMatrix	DiscreteUniformDistribution.cdf(DblMatrix xx) CDF of the Normal distribution.
DblMatrix	GammaDistribution.cdf(DblMatrix xx) CDF of the Normal distribution.
DblMatrix	BinomialDistribution.cdf(DblMatrix X)
DblMatrix	FDistribution.cdf(DblMatrix F) CDF of the F distribution.
DblMatrix	ChiSqDistribution.cdf(DblMatrix xx) Returns the CDF of the Chi-Squared distribution.
DblMatrix	HypergeometricDistribution.cdf(DblMatrix xx) CDF of the Hypergeometric distribution.
DblMatrix	CDF.cdf(DblMatrix X)
DblMatrix	PoissonDistribution.cdf(DblMatrix X)
abstract DblMatrix	ProbabilityDensity.criticalValue(DblMatrix Pvalue)
DblMatrix	TDistribution.criticalValue(DblMatrix cdfval) For an input value C returns x such that P(X<=x) = C.
DblMatrix	NormalDistribution.criticalValue(DblMatrix p) For an input value C returns x such that P(X<=x) = C.
DblMatrix	BernoulliDistribution.criticalValue(DblMatrix cdfvals)
DblMatrix	UniformDistribution.criticalValue(DblMatrix p) For an input value C returns x such that P(X<=x) = C.
DblMatrix	DiscreteUniformDistribution.criticalValue(DblMatrix p) For an input value C returns x such that P(X<=x) = C.
DblMatrix	GammaDistribution.criticalValue(DblMatrix cdfvals) For an input value C returns x such that P(X<=x) = C.
DblMatrix	BinomialDistribution.criticalValue(DblMatrix cdfval)
DblMatrix	FDistribution.criticalValue(DblMatrix cdfvals) For an input value C returns x such that P(X<=x) = C.
DblMatrix	ChiSqDistribution.criticalValue(DblMatrix cdfval) For an input value C returns x such that P(X<=x) = C.
DblMatrix	HypergeometricDistribution.criticalValue(DblMatrix cdfval) For an input value C returns x such that P(X<=x) = C.
DblMatrix	InvCDF.criticalValue(DblMatrix Pvalue)
DblMatrix	PoissonDistribution.criticalValue(DblMatrix cdfval)
DblMatrix	FCDF.getPredictionAt(DblMatrix[] X)
DblMatrix	NormPDF.getPredictionAt(DblMatrix[] X)
DblMatrix	FCDF.getValueAt(DblMatrix F)
DblMatrix	ProbabilityDensity.getValueAt(DblMatrix X)
DblMatrix	NormPDF.getValueAt(DblMatrix X)
DblMatrix	ECDF.getValueAt(DblMatrix x)
abstract DblMatrix	ProbabilityDensity.hasSupport(DblMatrix X) Returns 1 if the density has the input value in its support set (domain) and 0 otherwise.
DblMatrix	TDistribution.hasSupport(DblMatrix X)
DblMatrix	NormalDistribution.hasSupport(DblMatrix X)
DblMatrix	BernoulliDistribution.hasSupport(DblMatrix X)
DblMatrix	UniformDistribution.hasSupport(DblMatrix X)
DblMatrix	DiscreteUniformDistribution.hasSupport(DblMatrix X)
DblMatrix	GammaDistribution.hasSupport(DblMatrix X)
DblMatrix	BinomialDistribution.hasSupport(DblMatrix X)
DblMatrix	FDistribution.hasSupport(DblMatrix X)
DblMatrix	ChiSqDistribution.hasSupport(DblMatrix X)
DblMatrix	HypergeometricDistribution.hasSupport(DblMatrix X)
DblMatrix	PoissonDistribution.hasSupport(DblMatrix X)
abstract DblMatrix	ProbabilityDensity.pdf(DblMatrix X)
DblMatrix	TDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	NormalDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	BernoulliDistribution.pdf(DblMatrix X)
DblMatrix	UniformDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	DiscreteUniformDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	GammaDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	BinomialDistribution.pdf(DblMatrix X)
DblMatrix	FDistribution.pdf(DblMatrix X) Returns the value of the density function at X.
DblMatrix	ChiSqDistribution.pdf(DblMatrix x) Returns the value of the density function at X.
DblMatrix	HypergeometricDistribution.pdf(DblMatrix R) Returns the value of the density function at X.
DblMatrix	PoissonDistribution.pdf(DblMatrix X)
void	GammaDistribution.setAlpha(DblMatrix u)
void	GammaDistribution.setBeta(DblMatrix beta)
void	FDistribution.setDDF(DblMatrix m)
void	TDistribution.setDF(DblMatrix m)
void	ChiSqDistribution.setDF(DblMatrix m)
void	UniformDistribution.setHigh(DblMatrix b)
void	PoissonDistribution.setLambda(DblMatrix m)
void	UniformDistribution.setLow(DblMatrix a)
void	HypergeometricDistribution.setM(DblMatrix m)
void	NormalDistribution.setMean(DblMatrix u)
void	DiscreteUniformDistribution.setN(DblMatrix a)
void	BinomialDistribution.setN(DblMatrix m)
void	HypergeometricDistribution.setN(DblMatrix m)
void	FDistribution.setNDF(DblMatrix m)
void	BernoulliDistribution.setP(DblMatrix m)
void	BinomialDistribution.setP(DblMatrix m)
void	ProbabilityDensity.setParam(java.lang.String name, DblMatrix value)
void	HypergeometricDistribution.setS(DblMatrix m)
void	NormalDistribution.setStd(DblMatrix sig)
void	FCDF.setVariable(DblMatrix ff)
void	TDistribution.setVariable(DblMatrix ff)
void	NormalDistribution.setVariable(DblMatrix ff)
void	UniformDistribution.setVariable(DblMatrix ff)
void	GammaDistribution.setVariable(DblMatrix ff)
void	FDistribution.setVariable(DblMatrix ff)
void	ChiSqDistribution.setVariable(DblMatrix ff)
void	HypergeometricDistribution.setVariable(DblMatrix ff)
void	ProbabilityDensity.setVariableValue(DblMatrix X)
void	NormalDistribution.setVariance(DblMatrix sigsq)

Constructors in com.mockturtlesolutions.snifflib.stats with parameters of type DblMatrix

Constructor and Description
BernoulliDistribution(DblMatrix p)
BinomialDistribution(DblMatrix N, DblMatrix p)
ChiSqDistribution(DblMatrix d)
DiscreteUniformDistribution(DblMatrix n)
ECDF(DblMatrix x)
FCDF(DblMatrix ndf, DblMatrix ddf)
FCDF(DblMatrix ndf, double ddf)
FCDF(double ndf, DblMatrix ddf)
FDistribution(DblMatrix ndf, DblMatrix ddf)
FDistribution(DblMatrix ndf, double ddf)
FDistribution(double ndf, DblMatrix ddf)
GammaDistribution(DblMatrix alpha, DblMatrix beta)
GammaDistribution(DblMatrix alpha, double beta)
GammaDistribution(double alpha, DblMatrix beta)
HypergeometricDistribution(DblMatrix m, DblMatrix n, DblMatrix s)
NormalDistribution(DblMatrix mu, DblMatrix sigma)
NormalDistribution(DblMatrix mu, double sigma)
NormalDistribution(double mu, DblMatrix sigma)
NormPDF(DblMatrix mu, DblMatrix sigma)
NormPDF(DblMatrix mu, double sigma)
NormPDF(double mu, DblMatrix sigma)
PoissonDistribution(DblMatrix N, DblMatrix p)
TDistribution(DblMatrix nu)
UniformDistribution(DblMatrix low, DblMatrix high)
UniformDistribution(DblMatrix low, double high)
UniformDistribution(double low, DblMatrix high)

Uses of DblMatrix in com.mockturtlesolutions.snifflib.testfun

Methods in com.mockturtlesolutions.snifflib.testfun that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	Constant.getParam(java.lang.String name)
DblMatrix	HollingI.getParam(java.lang.String name)
DblMatrix	Quadratic.getParam(java.lang.String name)
DblMatrix	Cubic.getParam(java.lang.String name)
DblMatrix	HollingIII.getParam(java.lang.String name)
DblMatrix	HollingII.getParam(java.lang.String name)
DblMatrix	Constant.getPredictionAt(DblMatrix[] X)
DblMatrix	HollingI.getPredictionAt(DblMatrix[] X)
DblMatrix	Quadratic.getPredictionAt(DblMatrix[] X)
DblMatrix	Linear.getPredictionAt(DblMatrix[] X)
DblMatrix	Cubic.getPredictionAt(DblMatrix[] X)
DblMatrix	HollingIII.getPredictionAt(DblMatrix[] X)
DblMatrix	HollingII.getPredictionAt(DblMatrix[] X)
DblMatrix	MichaelisMenten.getPredictionAt(DblMatrix[] X)
DblMatrix	Constant.getValueAt(DblMatrix X)
DblMatrix	HollingI.getValueAt(DblMatrix X)
DblMatrix	Quadratic.getValueAt(DblMatrix X)
DblMatrix	Cubic.getValueAt(DblMatrix X)
DblMatrix	HollingIII.getValueAt(DblMatrix X)
DblMatrix	HollingII.getValueAt(DblMatrix X)
DblMatrix	MichaelisMenten.negLogLikelihood() Provides negative log likelihood for Michaelis-Menten using the assumption of i.i.d Gaussian errors.
DblMatrix	Linear.residuals()

Methods in com.mockturtlesolutions.snifflib.testfun with parameters of type DblMatrix

Modifier and Type	Method and Description
DblMatrix	Constant.getPredictionAt(DblMatrix[] X)
DblMatrix	HollingI.getPredictionAt(DblMatrix[] X)
DblMatrix	Quadratic.getPredictionAt(DblMatrix[] X)
DblMatrix	Linear.getPredictionAt(DblMatrix[] X)
DblMatrix	Cubic.getPredictionAt(DblMatrix[] X)
DblMatrix	HollingIII.getPredictionAt(DblMatrix[] X)
DblMatrix	HollingII.getPredictionAt(DblMatrix[] X)
DblMatrix	MichaelisMenten.getPredictionAt(DblMatrix[] X)
DblMatrix	Constant.getValueAt(DblMatrix X)
DblMatrix	HollingI.getValueAt(DblMatrix X)
DblMatrix	Quadratic.getValueAt(DblMatrix X)
DblMatrix	Cubic.getValueAt(DblMatrix X)
DblMatrix	HollingIII.getValueAt(DblMatrix X)
DblMatrix	HollingII.getValueAt(DblMatrix X)
void	Constant.setParam(java.lang.String name, DblMatrix value)
void	HollingI.setParam(java.lang.String name, DblMatrix value)
void	Quadratic.setParam(java.lang.String name, DblMatrix value)
void	Cubic.setParam(java.lang.String name, DblMatrix value)
void	HollingIII.setParam(java.lang.String name, DblMatrix value)
void	HollingII.setParam(java.lang.String name, DblMatrix value)

Constructors in com.mockturtlesolutions.snifflib.testfun with parameters of type DblMatrix

Constructor and Description
Constant(DblMatrix a)
Linear(DblMatrix a, DblMatrix b)

Uses of DblMatrix in com.mockturtlesolutions.snifflib.util

Fields in com.mockturtlesolutions.snifflib.util declared as DblMatrix

Modifier and Type	Field and Description
DblMatrix	ForwardDifferenceMapping.A
protected DblMatrix	Pulse.Conc
DblMatrix	NNCalc.Distances
DblMatrix	QTreeNode.Extent
protected DblMatrix	BarElement.extents
DblMatrix	QTreeNode.Indices
protected DblMatrix	Qdecomp.LowerBounds
protected DblMatrix	QTreeNode.MaxExtent
protected DblMatrix	Qdecomp.MaxExtent
protected DblMatrix	QTreeNode.MinExtent
protected DblMatrix	Qdecomp.MinExtent
DblMatrix	NNCalc.NearestDistances
DblMatrix[]	NNCalc.NearestXData
DblMatrix	QTreeNode.Node
protected DblMatrix	BarElement.origin
DblMatrix	Nhood.SelectedStencil
protected DblMatrix	Nhood.Stencil
DblMatrix	Nhood.StencilValues
DblMatrix	NhoodSum.Sum
protected DblMatrix	QTreeNode.Threshold
protected DblMatrix	Qdecomp.Threshold
protected DblMatrix	Pulse.Toff
protected DblMatrix	Pulse.Ton
protected DblMatrix	Qdecomp.UpperBounds
DblMatrix	NhoodSum.X
DblMatrix[]	NNCalc.XData
DblMatrix[]	QTreeNode.XData
DblMatrix	QTreeNode.YData

Methods in com.mockturtlesolutions.snifflib.util that return DblMatrix

Modifier and Type	Method and Description
DblMatrix[]	QTreeNode.alphacube() Split via an "alphabetic" ordering of the bits from the series 0 to 2^this.Dimension.
static DblMatrix	Sequence.altharmonic(int M) Returns alternating harmonic sequence with nth term (-1)^(n+1)/n.
DblMatrix	Lentz.convergent()
DblMatrix	Lentz.convergent(int n)
DblMatrix	ValueSimplex.dd(int pidx) Returns the DeWall algorithm's "Delaunay distance" for the vertex whose index is specified.
DblMatrix	RefSimplex.dd(java.lang.Integer pidx) Returns the DeWall algorithm's "Delaunay distance" for the vertex whose index is specified.
DblMatrix	Simplex.dd(java.lang.Integer pidx)
DblMatrix	Triangulation.DTFE() Returns the Delaunay tessellation field estimator (DTFE).
abstract DblMatrix	AbstractErfAlgorithm.erf(DblMatrix x)
DblMatrix	Erf.erf(DblMatrix X)
DblMatrix	IncGammaErfAlgorithm.erf(DblMatrix X)
DblMatrix	ErfAlgorithm.erf(DblMatrix x)
abstract DblMatrix	AbstractErfAlgorithm.erfc(DblMatrix x)
DblMatrix	Erf.erfc(DblMatrix x)
DblMatrix	IncGammaErfAlgorithm.erfc(DblMatrix x)
DblMatrix	ErfAlgorithm.erfc(DblMatrix x)
DblMatrix	IncGammaContFracFun.evenTermA(int j) Return the jth even A term (i.e.
DblMatrix	IncGammaContFracFun.evenTermB(int j) Return the jth even B term (i.e.
static DblMatrix	Sequence.fibonacci(DblMatrix n) Returns the specified terms of the Fibonacci sequence.
static DblMatrix	Sequence.fibonacci(int n) Returns the nth term of the Fibonacci sequence.
static DblMatrix	Sequence.fibonaccis(int n) Returns the first n terms of the Fibonacci sequence.
static DblMatrix	Gradient.full(DblMatrix[] H, int order, int symmetry_type)
DblMatrix	GammaAlgorithm.gamma(DblMatrix X)
abstract DblMatrix	AbstractGammaAlgorithm.gamma(DblMatrix Z)
DblMatrix	TothGammaAlgorithm.gamma(DblMatrix Z)
DblMatrix	Gamma.gamma(DblMatrix Z)
DblMatrix	ValueSimplex.get(int j)
DblMatrix	ForwardDifferenceMapping.getA() Return the forward difference matrix.
abstract DblMatrix	RadialGradientGridElementPainter.getCenter(GridElement elem)
DblMatrix	BarElement.getCentroid()
DblMatrix	RefSimplex.getCentroid()
DblMatrix	ValueSimplex.getCentroid()
DblMatrix	GridElement.getCentroid()
DblMatrix	RefSimplex.getCircumcenter()
DblMatrix	ValueSimplex.getCircumcenter()
DblMatrix	RefSimplex.getCircumradius()
DblMatrix	ValueSimplex.getCircumradius()
DblMatrix	BarElement.getCoords() Returns the data coordinates as a matrix.
DblMatrix	RefSimplex.getCoords() Returns the data coordinates as a matrix.
DblMatrix	GridElement.getCoords()
abstract DblMatrix	GradientGridElementPainter.getCoords1(GridElement elem)
abstract DblMatrix	GradientGridElementPainter.getCoords2(GridElement elem)
DblMatrix	BarElement.getCoordsOf(java.lang.Integer vert)
DblMatrix	RefSimplex.getCoordsOf(java.lang.Integer row) Returns the data coordinates at the given index.
DblMatrix	GridElement.getCoordsOf(java.lang.Integer idx)
DblMatrix	RefSimplex.getData()
DblMatrix	RadialGradientGridElementPainter.getFocus(GridElement elem) This default convenience implementation returns null for the focus.
DblMatrix	LinearGradientGridElementPainter.getFractions(GridElement elem) This default convenience implementation returns a vector containing only 0.0f and 1.0f.
DblMatrix	RadialGradientGridElementPainter.getFractions(GridElement elem) This default convenience implementation returns a vector containing only 0.0f and 1.0f.
DblMatrix[]	Gradient.getGradient()
abstract DblMatrix	TextureGridElementPainter.getHeight(GridElement elem)
DblMatrix	ZeroCross.getLocations()
DblMatrix	SeriesInvErfAlgorithm.getLogCk(int k)
DblMatrix	ZeroCross.getMagnitudes()
DblMatrix	MatrixBuilder.getMatrix()
DblMatrix	MatrixBuilder.getMaxVal()
DblMatrix	MatrixBuilder.getMinVal()
abstract DblMatrix	TextureGridElementPainter.getOrigin(GridElement elem)
DblMatrix	Erf.getParam(java.lang.String name)
DblMatrix	BarElement.getPerimeter()
DblMatrix	RefSimplex.getPerimeter() Returns the perimeter (2D only) of this simplex.
DblMatrix	GridElement.getPerimeter()
DblMatrix	Triangulation.getPerturbationSize()
DblMatrix	TothGammaAlgorithm.getPredictionAt(DblMatrix[] X)
DblMatrix	NRLogGammaAlgorithm.getPredictionAt(DblMatrix[] X)
DblMatrix	NRIncBetaAlgorithm.getPredictionAt(DblMatrix[] X)
abstract DblMatrix	RadialGradientGridElementPainter.getRadius(GridElement elem)
DblMatrix	Lentz.getResult()
abstract DblMatrix	LinearGradientGridElementPainter.getStart(GridElement elem)
DblMatrix	Nhood.getStencil() Get the current stencil.
DblMatrix	MatrixBuilder.getStepVal()
abstract DblMatrix	LinearGradientGridElementPainter.getStop(GridElement elem)
DblMatrix	NhoodSum.getSum()
DblMatrix	Lentz.getTol()
DblMatrix	Triangulation.getTolerance()
DblMatrix	RefSimplex.getTolerance()
DblMatrix	Triangulation.getTriangulation()
DblMatrix	Triangulation.VertexTracker.getValue()
DblMatrix	AbstractIncBetaAlgorithm.getValueAt(DblMatrix Z)
DblMatrix	AbstractGammaAlgorithm.getValueAt(DblMatrix Z)
DblMatrix	Gamma.getValueAt(DblMatrix Z)
DblMatrix	Erf.getValueAt(DblMatrix Y)
DblMatrix	Pulse.getValueAt(DblMatrix tnow)
DblMatrix	IncBeta.getValueAt(DblMatrix Z)
DblMatrix	AbstractLogGammaAlgorithm.getValueAt(DblMatrix Z)
DblMatrix	LogGamma.getValueAt(DblMatrix Z)
DblMatrix	RefSimplex.IntersectObjective.getValueToMinimize()
DblMatrix	Erf.getValueToMinimize()
DblMatrix	BarElement.getVolume()
DblMatrix	RefSimplex.getVolume() Returns the volume (area in 2D) of this simplex.
DblMatrix	GridElement.getVolume()
abstract DblMatrix	TextureGridElementPainter.getWidth(GridElement elem)
DblMatrix	DoubleContFracFun.getX()
static DblMatrix	PseudoRandom.haltonSeq(int[] INDICES, int NDIMS) Returns a matrix representing NDIMS separate Halton sequences each having only the sequence indices indicated.
static DblMatrix	PseudoRandom.haltonSeq(int NUMPTS, int NDIMS) Returns a matrix representing NDIMS separate Halton sequences each having NUMPTS entries.
static DblMatrix	PseudoRandom.haltonSeq(int NUMPTS, int[] PRIMES) Returns a matrix representing P.length separate Halton sequences each having NUMPTS entries.
static DblMatrix	Sequence.harmonic(int M) Returns harmonic sequence with nth term 1/n.
static DblMatrix	Sequence.harmonic(int M, double a, double b) Returns general harmonic sequence with nth term 1/(a*n+b).
DblMatrix	Pulse.hv(DblMatrix x, double sharpness) Return smooth approximation to a Heaviside.
abstract DblMatrix	AbstractIncBetaAlgorithm.incBeta(DblMatrix Z, DblMatrix a, DblMatrix b)
DblMatrix	NRIncBetaAlgorithm.incBeta(DblMatrix xx, DblMatrix aa, DblMatrix bb) incBeta(X,a,b) Calculates the incomplete beta algorithm for parameters a and b at the point X.
DblMatrix	IncBeta.incBeta(DblMatrix Z, DblMatrix a, DblMatrix b)
DblMatrix	IncBetaAlgorithm.incBeta(DblMatrix x, DblMatrix a, DblMatrix b)
DblMatrix	SeriesIncGamma.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.incGamma(DblMatrix x, DblMatrix alpha)
abstract DblMatrix	AbstractIncGammaAlgorithm.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	InvErfAlgorithm.invErf(DblMatrix x)
abstract DblMatrix	AbstractInvErfAlgorithm.invErf(DblMatrix x)
DblMatrix	RootFinderInvErfAlgorithm.invErf(DblMatrix x)
DblMatrix	Erf.invErf(DblMatrix p)
DblMatrix	SeriesInvErfAlgorithm.invErf(DblMatrix X)
DblMatrix	AsymptoticInvErfAlgorithm.invErf(DblMatrix x)
static DblMatrix	Sequence.invfibonacci(DblMatrix x) For given Fibonacci numbers returns their index n.
static DblMatrix	Sequence.invfibonacci(int x) For a given Fibonacci number returns the index n.
DblMatrix	LogGammaAlgorithm.logGamma(DblMatrix X)
DblMatrix	NRLogGammaAlgorithm.logGamma(DblMatrix Z)
abstract DblMatrix	AbstractLogGammaAlgorithm.logGamma(DblMatrix Z)
DblMatrix	LogGamma.logGamma(DblMatrix Z)
DblMatrix	LogGamma.logGamma(double x)
DblMatrix	LogGamma.logGamma(int x)
DblMatrix	SeriesIncGamma.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	SeriesIncGamma.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	AbstractIncGammaAlgorithm.normIncGamma(DblMatrix x, DblMatrix alpha) Return the normalized incomplete gamma.
DblMatrix	IncGamma.normIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	Triangulation.normOntoPlane(DblMatrix point, DblMatrix pointOn, int dim)
static DblMatrix	Sequence.primes(int M) Returns sequence of the first n prime numbers.
static DblMatrix	Sequence.pseq(int M, double p) Returns a p-sequence with the nth term 1/(n^p).
DblMatrix	QuadTreeFun.quadEval(DblMatrix[] XData, DblMatrix YData) This method should take a Quad's XData and YData and return a DblMatrix the same size as the YData.
static DblMatrix	Triangulation.regionToTriangulation(java.util.Vector region)
DblMatrix	DoubleContFracFun.remainder(int j)
DblMatrix	Triangulation.SplittingPlane.sideOfWall(DblMatrix pt) Returns a number whose absolute value is the distance of the point to the wall and the sign indicates which "side" of the plane the point is on.
static DblMatrix[][]	Qdecomp.solveBin(DblMatrix[] XData, DblMatrix YData, DblMatrix CenterOfQuad, java.lang.String Method, DblMatrix Indices) Solve the binning problem for a newly formed quad.
DblMatrix	IncGammaContFracFun.termA(int j)
DblMatrix	IncGammaContFracFun.termB(int j)
DblMatrix	SeriesIncGamma.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	SeriesIncGamma.upperNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.upperNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.upperNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.upperNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.upperNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	VolumeGridElementMapping.valueFor(GridElement elem)
DblMatrix	GridElementMapping.valueFor(GridElement elem)
DblMatrix	PerimeterGridElementMapping.valueFor(GridElement elem)

Methods in com.mockturtlesolutions.snifflib.util with parameters of type DblMatrix

Modifier and Type	Method and Description
void	ValueSimplex.add(DblMatrix vert)
void	ValueSimplex.add(int idx, DblMatrix vert)
void	NhoodMapping.applyMapping(int home, DblMatrix StencilCodes, int[] indices) Operates only on a vector of StencilCodes and an int[] of indices where those StencilCoded functions should be implemented and the index of the "home" node (usually the center node).
void	NhoodSum.applyMapping(int index, DblMatrix codes, int[] indices)
void	ForwardDifferenceMapping.applyMapping(int index, DblMatrix codes, int[] indices) Implement the NhoodMapping applyMapping interface.
static java.util.Vector	Triangulation.circleRegion(DblMatrix center, DblMatrix rad, int Npts) Produces a Delaunay triangulation of a circle in 2 dimensions.
abstract DblMatrix	AbstractErfAlgorithm.erf(DblMatrix x)
DblMatrix	Erf.erf(DblMatrix X)
DblMatrix	IncGammaErfAlgorithm.erf(DblMatrix X)
DblMatrix	ErfAlgorithm.erf(DblMatrix x)
abstract DblMatrix	AbstractErfAlgorithm.erfc(DblMatrix x)
DblMatrix	Erf.erfc(DblMatrix x)
DblMatrix	IncGammaErfAlgorithm.erfc(DblMatrix x)
DblMatrix	ErfAlgorithm.erfc(DblMatrix x)
static DblMatrix	Sequence.fibonacci(DblMatrix n) Returns the specified terms of the Fibonacci sequence.
static DblMatrix	Gradient.full(DblMatrix[] H, int order, int symmetry_type)
DblMatrix	GammaAlgorithm.gamma(DblMatrix X)
abstract DblMatrix	AbstractGammaAlgorithm.gamma(DblMatrix Z)
DblMatrix	TothGammaAlgorithm.gamma(DblMatrix Z)
DblMatrix	Gamma.gamma(DblMatrix Z)
DblSort	NNCalc.getKNearest(DblMatrix[] refpt) Get the K-nearest neighbors about the Ith coordinate.
DblMatrix	TothGammaAlgorithm.getPredictionAt(DblMatrix[] X)
DblMatrix	NRLogGammaAlgorithm.getPredictionAt(DblMatrix[] X)
DblMatrix	NRIncBetaAlgorithm.getPredictionAt(DblMatrix[] X)
DblMatrix	AbstractIncBetaAlgorithm.getValueAt(DblMatrix Z)
DblMatrix	AbstractGammaAlgorithm.getValueAt(DblMatrix Z)
DblMatrix	Gamma.getValueAt(DblMatrix Z)
DblMatrix	Erf.getValueAt(DblMatrix Y)
DblMatrix	Pulse.getValueAt(DblMatrix tnow)
DblMatrix	IncBeta.getValueAt(DblMatrix Z)
DblMatrix	AbstractLogGammaAlgorithm.getValueAt(DblMatrix Z)
DblMatrix	LogGamma.getValueAt(DblMatrix Z)
DblMatrix	Pulse.hv(DblMatrix x, double sharpness) Return smooth approximation to a Heaviside.
abstract DblMatrix	AbstractIncBetaAlgorithm.incBeta(DblMatrix Z, DblMatrix a, DblMatrix b)
DblMatrix	NRIncBetaAlgorithm.incBeta(DblMatrix xx, DblMatrix aa, DblMatrix bb) incBeta(X,a,b) Calculates the incomplete beta algorithm for parameters a and b at the point X.
DblMatrix	IncBeta.incBeta(DblMatrix Z, DblMatrix a, DblMatrix b)
DblMatrix	IncBetaAlgorithm.incBeta(DblMatrix x, DblMatrix a, DblMatrix b)
DblMatrix	SeriesIncGamma.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.incGamma(DblMatrix x, DblMatrix alpha)
abstract DblMatrix	AbstractIncGammaAlgorithm.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.incGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	InvErfAlgorithm.invErf(DblMatrix x)
abstract DblMatrix	AbstractInvErfAlgorithm.invErf(DblMatrix x)
DblMatrix	RootFinderInvErfAlgorithm.invErf(DblMatrix x)
DblMatrix	Erf.invErf(DblMatrix p)
DblMatrix	SeriesInvErfAlgorithm.invErf(DblMatrix X)
DblMatrix	AsymptoticInvErfAlgorithm.invErf(DblMatrix x)
static DblMatrix	Sequence.invfibonacci(DblMatrix x) For given Fibonacci numbers returns their index n.
boolean	ValueSimplex.isInside(DblMatrix Po)
int	Qdecomp.locate(DblMatrix[] refpt) Search the quadtree for a quad that contains the given coordinate.
DblMatrix	LogGammaAlgorithm.logGamma(DblMatrix X)
DblMatrix	NRLogGammaAlgorithm.logGamma(DblMatrix Z)
abstract DblMatrix	AbstractLogGammaAlgorithm.logGamma(DblMatrix Z)
DblMatrix	LogGamma.logGamma(DblMatrix Z)
DblMatrix	SeriesIncGamma.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.lowerIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	SeriesIncGamma.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.lowerNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	AbstractIncGammaAlgorithm.normIncGamma(DblMatrix x, DblMatrix alpha) Return the normalized incomplete gamma.
DblMatrix	IncGamma.normIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	Triangulation.normOntoPlane(DblMatrix point, DblMatrix pointOn, int dim)
DblMatrix	QuadTreeFun.quadEval(DblMatrix[] XData, DblMatrix YData) This method should take a Quad's XData and YData and return a DblMatrix the same size as the YData.
DblMatrix	QuadTreeFun.quadEval(DblMatrix[] XData, DblMatrix YData) This method should take a Quad's XData and YData and return a DblMatrix the same size as the YData.
static java.util.Vector	Triangulation.rectangleRegion(DblMatrix corner, DblMatrix len, int Npts) Produces a Delaunay triangulation of a rectangular region.
void	ValueSimplex.replace(int idx, DblMatrix vert)
int	Qdecomp.rlocate(DblMatrix[] refpt, int queryLevel, int quadIndex) Search the quadtree for a quad that contains the given coordinate.
void	RefSimplex.setData(DblMatrix r)
void	Triangulation.VertexTracker.setDistance(DblMatrix d)
void	MatrixBuilder.setMatrix(DblMatrix X)
void	MatrixBuilder.setMaxVal(DblMatrix A)
void	MatrixBuilder.setMinVal(DblMatrix A)
void	Erf.setParam(java.lang.String name, DblMatrix value)
void	Triangulation.setPerturbationSize(DblMatrix c)
void	Qdecomp.setQuadResponse(DblMatrix newYData, int I) Set the response data for the given quad.
void	Nhood.setStencil(DblMatrix Stencil) Users can specify there own neighborhood stencil.
void	MatrixBuilder.setStepVal(DblMatrix A)
void	Lentz.setTol(DblMatrix e)
void	Triangulation.setTolerance(DblMatrix tol)
void	RefSimplex.setTolerance(DblMatrix tol)
void	DoubleContFracFun.setX(DblMatrix x)
DblMatrix	Triangulation.SplittingPlane.sideOfWall(DblMatrix pt) Returns a number whose absolute value is the distance of the point to the wall and the sign indicates which "side" of the plane the point is on.
static DblMatrix[][]	Qdecomp.solveBin(DblMatrix[] XData, DblMatrix YData, DblMatrix CenterOfQuad, java.lang.String Method, DblMatrix Indices) Solve the binning problem for a newly formed quad.
static DblMatrix[][]	Qdecomp.solveBin(DblMatrix[] XData, DblMatrix YData, DblMatrix CenterOfQuad, java.lang.String Method, DblMatrix Indices) Solve the binning problem for a newly formed quad.
static java.util.Vector	Triangulation.sphereRegion(DblMatrix center, DblMatrix rad, int Npts) Produces a Delaunay triangulation of a sphere (hypersphere) in N dimensions.
boolean	RefSimplex.surroundsCoords(DblMatrix Po) Returns true if the given coordinate is contained within this simplex.
boolean	Simplex.surroundsCoords(DblMatrix Po)
DblMatrix	SeriesIncGamma.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.upperIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	SeriesIncGamma.upperNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGammaAlgorithm.upperNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	ContFracIncGamma.upperNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	IncGamma.upperNormIncGamma(DblMatrix x, DblMatrix alpha)
DblMatrix	CompositeIncGammaAlgorithm.upperNormIncGamma(DblMatrix x, DblMatrix alpha)

Constructors in com.mockturtlesolutions.snifflib.util with parameters of type DblMatrix

Constructor and Description
BarChart(DblMatrix dataX, DblMatrix heights)
BarElement(DblMatrix orig, DblMatrix exts)
DoubleContFracFun(DblMatrix x)
Gradient(DblMatrix Yin)
Gradient(DblMatrix[] X, DblMatrix Y)
Gradient(DblMatrix[] X, DblMatrix Y)
Gradient(DblMatrix X, DblMatrix Y)
Gradient(StatisticalModel F, DblMatrix[] Xin)
IncBeta(DblMatrix a, DblMatrix b)
IncGammaContFracFun(DblMatrix X, DblMatrix A)
NhoodSum(DblMatrix xx) Construct an NhoodMapping that will calculate the cardinal sums for a matrix X.
NNCalc(DblMatrix[] XData) DblMatrix constructor.
Pulse(DblMatrix ton, DblMatrix toff, DblMatrix conc)
Qdecomp(DblMatrix[] XData, DblMatrix YData) Default constructor.
Qdecomp(DblMatrix[] XData, DblMatrix YData) Default constructor.
RefSimplex(DblMatrix dat)
RefSimplex(DblMatrix dat, DblMatrix rowofidxs) For a row vector of integer indices and corresponding reference data.
Triangulation(DblMatrix dat)
ValueSimplex(DblMatrix X)
ZeroCross(DblMatrix yy) Use this construction when finding the zero-crossings in point-wise data.

Uses of DblMatrix in com.mockturtlesolutions.snifflib.util.database

Methods in com.mockturtlesolutions.snifflib.util.database that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	GridElementTransferAgent.getCentroid()
DblMatrix	GridElementDOM.getCentroid()
DblMatrix	GridElementXML.getCentroid()
DblMatrix	GridElementTransferAgent.getCoords()
DblMatrix	GridElementDOM.getCoords()
DblMatrix	GridElementXML.getCoords()
DblMatrix	GridElementDOM.getCoordsOf(java.lang.Integer row)
DblMatrix	GridElementXML.getCoordsOf(java.lang.Integer row)
protected static DblMatrix	GridElementTransferAgent.getNextRow(java.io.StreamTokenizer STT)
DblMatrix	GridElementTransferAgent.getPerimeter() Returns the perimeter (2D only) of this simplex.
DblMatrix	GridElementDOM.getPerimeter() Returns the perimeter (2D only) of this simplex.
DblMatrix	GridElementXML.getPerimeter() Returns the perimeter (2D only) of this simplex.
DblMatrix	GridElementTransferAgent.getVolume() Returns the volume (area in 2D) of this element.
DblMatrix	GridElementDOM.getVolume() Returns the volume (area in 2D) of this element.
DblMatrix	GridElementXML.getVolume()
DblMatrix	GridElementStorage.getXData() Gets just the x-coordinate data for this GridElementStorage.
DblMatrix	GridElementTransferAgent.getXData()
DblMatrix	GridElementDOM.getXData()
DblMatrix	GridElementXML.getXData()
DblMatrix	GridElementStorage.getYData() Gets just the y-coordinate data for this GridElementStorage.
DblMatrix	GridElementTransferAgent.getYData()
DblMatrix	GridElementDOM.getYData()
DblMatrix	GridElementXML.getYData()

Uses of DblMatrix in com.mockturtlesolutions.snifflib.xppauttools.database

Methods in com.mockturtlesolutions.snifflib.xppauttools.database that return DblMatrix

Modifier and Type	Method and Description
DblMatrix	XppOdeStatisticalModel.getPredictionAt(DblMatrix[] xx)
DblMatrix	XppOdeStatisticalModel.likelihood()

Methods in com.mockturtlesolutions.snifflib.xppauttools.database with parameters of type DblMatrix

Modifier and Type	Method and Description
DblMatrix	XppOdeStatisticalModel.getPredictionAt(DblMatrix[] xx)