Sampler & _sampler_a
Sampler matrix.
Sampler & _sampler_b
Re-sample matrix.
A class used to perform Monte Carlo sampling for performing Sobol sensitivity analysis.
virtual Real computeSample(dof_id_type row_index, dof_id_type col_index) override
bool resample() const
Resampling flag, see SobolStatistics.
SobolSampler(const InputParameters ¶meters)
const dof_id_type _num_matrices
Number of matrices.
DIE A HORRIBLE DEATH HERE typedef LIBMESH_DEFAULT_SCALAR_TYPE Real
static InputParameters validParams()
virtual LocalRankConfig constructRankConfig(bool batch_mode) const override
Sobol sampling should have a slightly different partitioning in order to keep the sample and resample...
const InputParameters & parameters() const
std::vector< Real > _row_b
const bool & _resample
Flag for building the re-sampling matrix for computing second order sensitivity indices.
std::vector< Real > _row_a