Package gov.nih.mipav.model.algorithms

Class CeresSolver.Evaluator

java.lang.Object

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

Direct Known Subclasses:

CeresSolver.GradientProblemEvaluator, CeresSolver.ProgramEvaluator, CeresSolverTest.PowellEvaluator2

Enclosing class:

CeresSolver

abstract class CeresSolver.Evaluator
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field	Description
CeresSolver.EvaluatorOptions	options

Constructor Summary

Constructors

Constructor	Description
Evaluator()

Method Summary

Modifier and Type	Method	Description
abstract CeresSolver.SparseMatrix	CreateJacobian()
boolean	Evaluate(double[] state, double[] cost, double[] residuals, double[] gradient, CeresSolver.SparseMatrix jacobian)
abstract boolean	Evaluate(CeresSolver.EvaluateOptions evaluate_options, double[] state, double[] cost, double[] residuals, double[] gradient, CeresSolver.SparseMatrix jacobian)
abstract 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)
abstract int	NumEffectiveParameters()
abstract int	NumParameters()
abstract int	NumResiduals()
abstract boolean	Plus(double[] state, double[] delta, double[] state_plus_delta)
abstract 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 java.lang.Object

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

Field Detail

options

public CeresSolver.EvaluatorOptions options

Constructor Detail

Evaluator

public Evaluator()

Method Detail

Plus

public abstract 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)

Plus

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

NumParameters

public abstract int NumParameters()

NumEffectiveParameters

public abstract int NumEffectiveParameters()

NumResiduals

public abstract int NumResiduals()

Evaluate

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

Evaluate

public abstract 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)

Evaluate

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

Statistics

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

CreateJacobian

public abstract CeresSolver.SparseMatrix CreateJacobian()