nD Rosenbrock function for testing surrogate models in STM #27475
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Job No optional on f96f646 : invalidated by @grmnptr |
| InputParameters params = GeneralVectorPostprocessor::validParams(); | ||
| params.addRequiredParam<SamplerName>( | ||
| "sampler", "The Sampler object to use to perform g-function evaluations."); | ||
| params.addParam<bool>("classify", false, "Flag to turn return binary values."); |
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| params.addParam<bool>("classify", false, "Flag to turn return binary values."); | |
| params.addParam<bool>("classify", false, "Flag to return binary values."); |
| _classify(getParam<bool>("classify")), | ||
| _limiting_value(getParam<Real>("limiting_value")), | ||
| _values(declareVector("g_values")) | ||
| { |
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We should add a param error here if limiting_value is defined by the user while _classify is false.
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| #include "GeneralVectorPostprocessor.h" | ||
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| /* SOBOL test function, see Slaughter, Eq. 5.51 */ |
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| /* SOBOL test function, see Slaughter, Eq. 5.51 */ | |
| /* nD Rosenbrock function, see [some reference here or describe the expression] */ |
| const bool & _classify; | ||
| const Real & _limiting_value; |
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| const bool & _classify; | |
| const Real & _limiting_value; | |
| const bool _classify; | |
| const Real _limiting_value; |
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Unless you need these to be controllable.
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Motivation
An nD Rosenbrock function is a complex analytical function involving heavy tails and non-convex structures. It's a cheap and effective function to test surrogate models in the STM.
Design
An
nDRosenbrocktest vpp will be created in the STM.Impact
No expected impact to existing objects.
closes #27469