com.mockturtlesolutions.snifflib.util

Class Gradient

java.lang.Object

com.mockturtlesolutions.snifflib.util.Gradient

public class Gradient
extends java.lang.Object

Calculates gradients of functions or data using different methods which the user can select.

Field Summary

Fields

Modifier and Type	Field and Description
static int	GRADIENT_ASSUME_ASYMMETRIC
static int	GRADIENT_ASSUME_SYMMETRIC
static int	GRADIENT_FINITE_DIFFERENCE
static int	GRADIENT_RETURN_FULL
static int	GRADIENT_RETURN_VECTOR
static int	GRADIENT_WRT_PARAMETERS
static int	GRADIENT_WRT_X

Constructor Summary

Constructors

Constructor and Description
Gradient(DblMatrix Yin)
Gradient(DblMatrix[] X, DblMatrix Y)
Gradient(DblMatrix X, DblMatrix Y)
Gradient(StatisticalModel F, DblMatrix[] Xin)

Method Summary

Methods

Modifier and Type	Method and Description
void	calculateWRT(int c)
static DblMatrix	full(DblMatrix[] H, int order, int symmetry_type)
DblMatrix[]	getGradient()
void	setGradientOrder(int v) Set the order of derivative to estimate.
void	setReturnType(int c)
void	setSymmetry(int c)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

GRADIENT_ASSUME_ASYMMETRIC

public static final int GRADIENT_ASSUME_ASYMMETRIC

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Constant Field Values

GRADIENT_ASSUME_SYMMETRIC

public static final int GRADIENT_ASSUME_SYMMETRIC

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Constant Field Values

GRADIENT_RETURN_FULL

public static final int GRADIENT_RETURN_FULL

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Constant Field Values

GRADIENT_RETURN_VECTOR

public static final int GRADIENT_RETURN_VECTOR

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Constant Field Values

GRADIENT_WRT_PARAMETERS

public static final int GRADIENT_WRT_PARAMETERS

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Constant Field Values

GRADIENT_WRT_X

public static final int GRADIENT_WRT_X

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Constant Field Values

GRADIENT_FINITE_DIFFERENCE

public static final int GRADIENT_FINITE_DIFFERENCE

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Constant Field Values

Constructor Detail

Gradient

public Gradient(DblMatrix X,
        DblMatrix Y)

Gradient

public Gradient(DblMatrix[] X,
        DblMatrix Y)

Gradient

public Gradient(DblMatrix Yin)

Gradient

public Gradient(StatisticalModel F,
        DblMatrix[] Xin)

Method Detail

setSymmetry

public void setSymmetry(int c)

calculateWRT

public void calculateWRT(int c)

setReturnType

public void setReturnType(int c)

setGradientOrder

public void setGradientOrder(int v)

Set the order of derivative to estimate.

full

public static DblMatrix full(DblMatrix[] H,
             int order,
             int symmetry_type)

getGradient

public DblMatrix[] getGradient()