Package gov.nih.mipav.model.algorithms
Class CeresSolver.LineSearchMinimizer
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- gov.nih.mipav.model.algorithms.CeresSolver.Minimizer
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- gov.nih.mipav.model.algorithms.CeresSolver.LineSearchMinimizer
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- Enclosing class:
- CeresSolver
class CeresSolver.LineSearchMinimizer extends CeresSolver.Minimizer
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Nested Class Summary
Nested Classes Modifier and Type Class Description (package private) classCeresSolver.LineSearchMinimizer.State
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Field Summary
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Fields inherited from class gov.nih.mipav.model.algorithms.CeresSolver.Minimizer
options_
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Constructor Summary
Constructors Constructor Description LineSearchMinimizer()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description voidcopyState(CeresSolver.LineSearchMinimizer.State dst, CeresSolver.LineSearchMinimizer.State src)private booleanEvaluateGradientNorms(CeresSolver.Evaluator evaluator, double[] x, CeresSolver.LineSearchMinimizer.State state, java.lang.String[] message)private booleanEvaluateGradientNorms(CeresSolver.Evaluator evaluator, java.util.Vector<java.lang.Double> x, CeresSolver.LineSearchMinimizer.State state, java.lang.String[] message)voidMinimize(CeresSolver.MinimizerOptions options, double[] parameters, CeresSolver.SolverSummary summary)-
Methods inherited from class gov.nih.mipav.model.algorithms.CeresSolver.Minimizer
RunCallbacks
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Method Detail
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copyState
public void copyState(CeresSolver.LineSearchMinimizer.State dst, CeresSolver.LineSearchMinimizer.State src)
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EvaluateGradientNorms
private boolean EvaluateGradientNorms(CeresSolver.Evaluator evaluator, double[] x, CeresSolver.LineSearchMinimizer.State state, java.lang.String[] message)
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EvaluateGradientNorms
private boolean EvaluateGradientNorms(CeresSolver.Evaluator evaluator, java.util.Vector<java.lang.Double> x, CeresSolver.LineSearchMinimizer.State state, java.lang.String[] message)
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Minimize
public void Minimize(CeresSolver.MinimizerOptions options, double[] parameters, CeresSolver.SolverSummary summary)
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