Package gov.nih.mipav.model.algorithms

Class CeresSolver.LowRankInverseHessian

java.lang.Object

gov.nih.mipav.model.algorithms.CeresSolver.LinearOperator

gov.nih.mipav.model.algorithms.CeresSolver.LowRankInverseHessian

Enclosing class:

CeresSolver

class CeresSolver.LowRankInverseHessian
extends CeresSolver.LinearOperator

Field Summary

Fields

Modifier and Type	Field	Description
private double	approximate_eigenvalue_scale_
private Jama.Matrix	delta_gradient_history_
private java.util.Vector<java.lang.Double>	delta_x_dot_delta_gradient_
private Jama.Matrix	delta_x_history_
private java.util.LinkedList<java.lang.Integer>	indices_
private int	max_num_corrections_
private int	num_parameters_
private boolean	use_approximate_eigenvalue_scaling_

Constructor Summary

Constructors

Constructor	Description
LowRankInverseHessian(int num_parameters, int max_num_corrections, boolean use_approximate_eigenvalue_scaling)

Method Summary

Modifier and Type	Method	Description
void	LeftMultiply(double[] x, double[] y)
int	num_cols()
int	num_rows()
void	RightMultiply(double[] x_ptr, double[] y_ptr)
void	RightMultiply(java.util.Vector<java.lang.Double> x, java.util.Vector<java.lang.Double> y)
boolean	Update(java.util.Vector<java.lang.Double> delta_x, java.util.Vector<java.lang.Double> delta_gradient)

Methods inherited from class java.lang.Object

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

Field Detail

num_parameters_

private int num_parameters_

max_num_corrections_

private int max_num_corrections_

use_approximate_eigenvalue_scaling_

private boolean use_approximate_eigenvalue_scaling_

approximate_eigenvalue_scale_

private double approximate_eigenvalue_scale_

delta_x_history_

private Jama.Matrix delta_x_history_

delta_gradient_history_

private Jama.Matrix delta_gradient_history_

delta_x_dot_delta_gradient_

private java.util.Vector<java.lang.Double> delta_x_dot_delta_gradient_

indices_

private java.util.LinkedList<java.lang.Integer> indices_

Constructor Detail

LowRankInverseHessian

public LowRankInverseHessian(int num_parameters,
                             int max_num_corrections,
                             boolean use_approximate_eigenvalue_scaling)

Method Detail

Update

public boolean Update(java.util.Vector<java.lang.Double> delta_x,
                      java.util.Vector<java.lang.Double> delta_gradient)

RightMultiply

public void RightMultiply(java.util.Vector<java.lang.Double> x,
                          java.util.Vector<java.lang.Double> y)

RightMultiply

public void RightMultiply(double[] x_ptr,
                          double[] y_ptr)

Specified by:

RightMultiply in class CeresSolver.LinearOperator

LeftMultiply

public void LeftMultiply(double[] x,
                         double[] y)

Specified by:

LeftMultiply in class CeresSolver.LinearOperator

num_rows

public int num_rows()

Specified by:

num_rows in class CeresSolver.LinearOperator

num_cols

public int num_cols()

Specified by:

num_cols in class CeresSolver.LinearOperator