26 virtual Real
computeSample(dof_id_type row_index, dof_id_type col_index)
override;
const InputParameters & parameters() const
A class used to perform Monte Carlo sampling for performing Morris sensitivity analysis.
dof_id_type _curr_trajectory
The trajectory the current _bstar represents.
void updateBstar()
Function to calculate trajectories This is only called once per trajectory (_n_rows / (_n_cols + 1))
static InputParameters validParams()
std::vector< const Distribution * > _distributions
Distribution to determine parameter from perturbations.
const unsigned int & _num_levels
Number of levels used for input space discretization.
const dof_id_type & _num_trajectories
Number of trajectories.
virtual Real computeSample(dof_id_type row_index, dof_id_type col_index) override
virtual LocalRankConfig constructRankConfig(bool batch_mode) const override
Morris sampling should have a slightly different partitioning in order to keep the sample and resampl...