java.lang.Object
- gov.nih.mipav.model.algorithms.CeresSolver.CostFunction
- - gov.nih.mipav.model.algorithms.CeresSolver.GradientCheckingCostFunction

Enclosing class:: CeresSolver

class CeresSolver.GradientCheckingCostFunction
extends CeresSolver.CostFunction

Field Summary

Fields
Modifier and Type	Field	Description
`private CeresSolver.GradientCheckingIterationCallback`	`callback_`
`private java.lang.String`	`extra_info_`
`private CeresSolver.CostFunction`	`function_`
`private CeresSolver.GradientChecker`	`gradient_checker_`
`private double`	`relative_precision_`

Fields inherited from class gov.nih.mipav.model.algorithms.CeresSolver.CostFunction
parameter_block_sizes_

Constructor Summary

Constructors
Constructor	Description
`GradientCheckingCostFunction(CeresSolver.CostFunction function, java.util.Vector<CeresSolver.LocalParameterization> local_parameterizations, CeresSolver.NumericDiffOptions options, double relative_precision, java.lang.String extra_info, CeresSolver.GradientCheckingIterationCallback callback)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`boolean`	`Evaluate(java.util.Vector<double[]> parameters, double[] residuals, double[][] jacobians)`
`boolean`	`Evaluate(java.util.Vector<double[]> parameters, double[] residuals, double[][] jacobians, int[] jacobian_offsets)`

Methods inherited from class gov.nih.mipav.model.algorithms.CeresSolver.CostFunction
AddParameterBlock, finalize, mutable_parameter_block_sizes, num_residuals, parameter_block_sizes, set_num_residuals, set_parameter_block_sizes, SetNumResiduals

Methods inherited from class java.lang.Object
clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

function_

private CeresSolver.CostFunction function_

gradient_checker_

private CeresSolver.GradientChecker gradient_checker_

relative_precision_
```
private double relative_precision_
```

extra_info_
```
private java.lang.String extra_info_
```

callback_

private CeresSolver.GradientCheckingIterationCallback callback_

Constructor Detail

GradientCheckingCostFunction

public GradientCheckingCostFunction(CeresSolver.CostFunction function,
                                    java.util.Vector<CeresSolver.LocalParameterization> local_parameterizations,
                                    CeresSolver.NumericDiffOptions options,
                                    double relative_precision,
                                    java.lang.String extra_info,
                                    CeresSolver.GradientCheckingIterationCallback callback)

Method Detail

Evaluate

public boolean Evaluate(java.util.Vector<double[]> parameters,
                        double[] residuals,
                        double[][] jacobians)

Overrides:: Evaluate in class CeresSolver.CostFunction

Evaluate

public boolean Evaluate(java.util.Vector<double[]> parameters,
                        double[] residuals,
                        double[][] jacobians,
                        int[] jacobian_offsets)

Overrides:: Evaluate in class CeresSolver.CostFunction

Class CeresSolver.GradientCheckingCostFunction

Field Summary

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

Constructor Summary

Method Summary

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

Methods inherited from class java.lang.Object

Field Detail

function_

gradient_checker_

relative_precision_

extra_info_

callback_

Constructor Detail

GradientCheckingCostFunction

Method Detail

Evaluate

Evaluate