Package gov.nih.mipav.model.algorithms

Class CeresSolver.GradientProblemEvaluator

java.lang.Object

gov.nih.mipav.model.algorithms.CeresSolver.Evaluator

gov.nih.mipav.model.algorithms.CeresSolver.GradientProblemEvaluator

Enclosing class:

CeresSolver

class CeresSolver.GradientProblemEvaluator
extends CeresSolver.Evaluator

Field Summary

Fields

Modifier and Type	Field	Description
private CeresSolver.ExecutionSummary	execution_summary_
private CeresSolver.GradientProblem	problem_

Fields inherited from class gov.nih.mipav.model.algorithms.CeresSolver.Evaluator

options

Constructor Summary

Constructors

Constructor	Description
GradientProblemEvaluator(CeresSolver.GradientProblem problem)

Method Summary

Modifier and Type	Method	Description
CeresSolver.SparseMatrix	CreateJacobian()
boolean	Evaluate(CeresSolver.EvaluateOptions evaluate_options, double[] state, double[] cost, double[] residuals, double[] gradient, CeresSolver.SparseMatrix jacobian)
boolean	Evaluate(CeresSolver.EvaluateOptions evaluate_options, java.util.Vector<java.lang.Double> state, double[] cost, java.util.Vector<java.lang.Double> residuals, java.util.Vector<java.lang.Double> gradient, CeresSolver.SparseMatrix jacobian)
int	NumEffectiveParameters()
int	NumParameters()
int	NumResiduals()
boolean	Plus(double[] state, double[] delta, double[] state_plus_delta)
boolean	Plus(java.util.Vector<java.lang.Double> state, java.util.Vector<java.lang.Double> delta, java.util.Vector<java.lang.Double> state_plus_delta)
java.util.HashMap<java.lang.String,CeresSolver.CallStatistics>	Statistics()

Methods inherited from class gov.nih.mipav.model.algorithms.CeresSolver.Evaluator

Evaluate

Methods inherited from class java.lang.Object

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

Field Detail

problem_

private CeresSolver.GradientProblem problem_

execution_summary_

private CeresSolver.ExecutionSummary execution_summary_

Constructor Detail

GradientProblemEvaluator

public GradientProblemEvaluator(CeresSolver.GradientProblem problem)

Method Detail

Evaluate

public boolean Evaluate(CeresSolver.EvaluateOptions evaluate_options,
                        java.util.Vector<java.lang.Double> state,
                        double[] cost,
                        java.util.Vector<java.lang.Double> residuals,
                        java.util.Vector<java.lang.Double> gradient,
                        CeresSolver.SparseMatrix jacobian)

Specified by:

Evaluate in class CeresSolver.Evaluator

Evaluate

public boolean Evaluate(CeresSolver.EvaluateOptions evaluate_options,
                        double[] state,
                        double[] cost,
                        double[] residuals,
                        double[] gradient,
                        CeresSolver.SparseMatrix jacobian)

Specified by:

Evaluate in class CeresSolver.Evaluator

Plus

public boolean Plus(double[] state,
                    double[] delta,
                    double[] state_plus_delta)

Specified by:

Plus in class CeresSolver.Evaluator

Plus

public boolean Plus(java.util.Vector<java.lang.Double> state,
                    java.util.Vector<java.lang.Double> delta,
                    java.util.Vector<java.lang.Double> state_plus_delta)

Specified by:

Plus in class CeresSolver.Evaluator

CreateJacobian

public CeresSolver.SparseMatrix CreateJacobian()

Specified by:

CreateJacobian in class CeresSolver.Evaluator

NumParameters

public int NumParameters()

Specified by:

NumParameters in class CeresSolver.Evaluator

NumEffectiveParameters

public int NumEffectiveParameters()

Specified by:

NumEffectiveParameters in class CeresSolver.Evaluator

NumResiduals

public int NumResiduals()

Specified by:

NumResiduals in class CeresSolver.Evaluator

Statistics

public java.util.HashMap<java.lang.String,CeresSolver.CallStatistics> Statistics()

Overrides:

Statistics in class CeresSolver.Evaluator