[P]arallel [Hi]gh-order [Li]brary for [P]DEs  Latest
Parallel High-Order Library for PDEs through hp-adaptive Discontinuous Galerkin methods
PHiLiP::Parameters::HyperReductionParam Class Reference

Parameters related to reduced-order model. More...

#include <parameters_hyper_reduction.h>

Collaboration diagram for PHiLiP::Parameters::HyperReductionParam:

Public Member Functions

void parse_parameters (dealii::ParameterHandler &prm)
 Parses input file and sets the variables.
 

Static Public Member Functions

static void declare_parameters (dealii::ParameterHandler &prm)
 Declares the possible variables and sets the defaults.
 

Public Attributes

double NNLS_tol
 Tolerance for NNLS Solver.
 
int NNLS_max_iter
 Maximum number of iterations for NNLS Solver.
 
std::string training_data
 Training data (Residual-based vs Jacobian-based)
 
int num_training_snaps
 Maximum number of snapshots in the ECSW training.
 
bool adapt_sampling_bool
 Run Adapative Sampling (Online POD) or use Snapshots in path_to_search in Reduced Order Params.
 
double ROM_error_tol
 Minimum Error for ROM sampling point to be included in post-sampling HROM analysis.
 

Detailed Description

Parameters related to reduced-order model.

Definition at line 9 of file parameters_hyper_reduction.h.


The documentation for this class was generated from the following files: