Class HierarchicalOptimizationReporter¶
Defined in File hierarchicalOptimization.h
Inheritance Relationships¶
Base Type¶
public parpe::OptimizationReporter
(Class OptimizationReporter)
Class Documentation¶
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class
parpe
::
HierarchicalOptimizationReporter
: public parpe::OptimizationReporter¶ The HierarchicalOptimizationReporter class saves optimization parameters of the inner optimization problem on each function evaluation which would be hidden from the (outer) optimizer otherwise.
Public Functions
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HierarchicalOptimizationReporter
(HierarchicalOptimizationWrapper *gradFun, std::unique_ptr<OptimizationResultWriter> rw, std::unique_ptr<Logger> logger)¶
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virtual FunctionEvaluationStatus
evaluate
(gsl::span<const double> parameters, double &fval, gsl::span<double> gradient, Logger *logger = nullptr, double *cpuTime = nullptr) const override¶
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virtual bool
iterationFinished
(gsl::span<const double> parameters, double objectiveFunctionValue, gsl::span<const double> objectiveFunctionGradient) const override¶ Is called after each iteration except for the last one.
- Return
Quit optimization?
- Parameters
numParameters
:parameters
:currentIter
:
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virtual bool
afterCostFunctionCall
(gsl::span<const double> parameters, double objectiveFunctionValue, gsl::span<double const> objectiveFunctionGradient) const override¶
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virtual void
finished
(double optimalCost, gsl::span<const double> parameters, int exitStatus) const override¶ Is called after optimization finished.
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virtual std::vector<double> const &
getFinalParameters
() const override¶
Public Members
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HierarchicalOptimizationWrapper *
hierarchical_wrapper_
= nullptr¶
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mutable std::vector<double>
cached_full_parameters_
¶
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mutable std::vector<double>
cached_full_gradient_
¶
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