- contains_complete_historyFalseSet this flag to indicate that the values in all vectors declared by this VPP represent a time history (e.g. with each invocation, new values are added and old values are never removed). This changes the output so that only a single file is output and updated with each invocation
Default:False
C++ Type:bool
Description:Set this flag to indicate that the values in all vectors declared by this VPP represent a time history (e.g. with each invocation, new values are added and old values are never removed). This changes the output so that only a single file is output and updated with each invocation
- execute_onTIMESTEP_ENDThe list of flag(s) indicating when this object should be executed, the available options include NONE, INITIAL, LINEAR, NONLINEAR, TIMESTEP_END, TIMESTEP_BEGIN, FINAL, CUSTOM.
Default:TIMESTEP_END
C++ Type:ExecFlagEnum
Description:The list of flag(s) indicating when this object should be executed, the available options include NONE, INITIAL, LINEAR, NONLINEAR, TIMESTEP_END, TIMESTEP_BEGIN, FINAL, CUSTOM.
- parallel_typeREPLICATEDSet how the data is represented within the VectorPostprocessor (VPP); 'distributed' indicates that data within the VPP is distributed and no auto communication is preformed, this setting will result in parallel output within the CSV output; 'replicated' indicates that the data within the VPP is correct on processor 0, the data will automatically be broadcast to all processors unless the '_auto_broadcast' param is set to false within the validParams function.
Default:REPLICATED
C++ Type:MooseEnum
Description:Set how the data is represented within the VectorPostprocessor (VPP); 'distributed' indicates that data within the VPP is distributed and no auto communication is preformed, this setting will result in parallel output within the CSV output; 'replicated' indicates that the data within the VPP is correct on processor 0, the data will automatically be broadcast to all processors unless the '_auto_broadcast' param is set to false within the validParams function.
- prop_getter_suffixAn optional suffix parameter that can be appended to any attempt to retrieve/get material properties. The suffix will be prepended with a '_' character.
C++ Type:MaterialPropertyName
Description:An optional suffix parameter that can be appended to any attempt to retrieve/get material properties. The suffix will be prepended with a '_' character.
StochasticResults
This object is designed to work with the SamplerPostprocessorTransfer object for transferring data from a Postprocessor to a VectorPostprocessor on the master application.
Example Syntax
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
Input Parameters
- allow_duplicate_execution_on_initialFalseIn the case where this UserObject is depended upon by an initial condition, allow it to be executed twice during the initial setup (once before the IC and again after mesh adaptivity (if applicable).
Default:False
C++ Type:bool
Options:
Description:In the case where this UserObject is depended upon by an initial condition, allow it to be executed twice during the initial setup (once before the IC and again after mesh adaptivity (if applicable).
- control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector<std::string>
Options:
Description:Adds user-defined labels for accessing object parameters via control logic.
- enableTrueSet the enabled status of the MooseObject.
Default:True
C++ Type:bool
Options:
Description:Set the enabled status of the MooseObject.
- force_postauxFalseForces the UserObject to be executed in POSTAUX
Default:False
C++ Type:bool
Options:
Description:Forces the UserObject to be executed in POSTAUX
- force_preauxFalseForces the UserObject to be executed in PREAUX
Default:False
C++ Type:bool
Options:
Description:Forces the UserObject to be executed in PREAUX
- force_preicFalseForces the UserObject to be executed in PREIC during initial setup
Default:False
C++ Type:bool
Options:
Description:Forces the UserObject to be executed in PREIC during initial setup
- outputsVector of output names were you would like to restrict the output of variables(s) associated with this object
C++ Type:std::vector<OutputName>
Options:
Description:Vector of output names were you would like to restrict the output of variables(s) associated with this object
- use_displaced_meshFalseWhether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.
Default:False
C++ Type:bool
Options:
Description:Whether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.
Advanced Parameters
Input Files
- (modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master.i)
- (modules/stochastic_tools/examples/parameter_study/master.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/wrong_multi_app.i)
- (modules/stochastic_tools/examples/surrogates/combined/trans_diff_2d/trans_diff_main.i)
- (modules/stochastic_tools/test/tests/surrogates/load_store/train.i)
- (modules/combined/examples/stochastic/lhs_uniform.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad_locs.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/master.i)
- (modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master_2sub.i)
- (modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/full_order.i)
- (modules/stochastic_tools/examples/batch/full_solve.i)
- (modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_vector.i)
- (modules/stochastic_tools/test/tests/multiapps/partitioning/main_transient.i)
- (modules/stochastic_tools/test/tests/multiapps/transient_with_full_solve/main.i)
- (modules/stochastic_tools/examples/batch/transient.i)
- (modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_master_uniform.i)
- (modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_multiple.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad_moment.i)
- (modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_single.i)
- (modules/stochastic_tools/test/tests/vectorpostprocessors/multiple_stochastic_results/master.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/cartesian_diverge.i)
- (modules/stochastic_tools/test/tests/multiapps/batch_full_solve_multiapp/master_full_solve.i)
- (modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_master_normal.i)
- (modules/stochastic_tools/test/tests/surrogates/load_store/train_and_evaluate.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad_moment.i)
- (modules/stochastic_tools/test/tests/multiapps/dynamic_sub_app_number/main.i)
- (modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results/master.i)
- (modules/stochastic_tools/test/tests/multiapps/batch_sampler_transient_multiapp/master_transient.i)
- (modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/master.i)
- (modules/stochastic_tools/test/tests/multiapps/partitioning/main.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad_locs.i)
- (modules/stochastic_tools/examples/sobol/master.i)
(modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
execute_on = TIMESTEP_BEGIN
check_multiapp_execute_on = false
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master.i)
[StochasticTools]
[]
[Distributions]
[uniform_0]
type = Uniform
lower_bound = 100
upper_bound = 200
[]
[uniform_1]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 15
distributions = 'uniform_0 uniform_1'
execute_on = INITIAL
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-reset
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
sampler = mc
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[data]
type = SamplerData
sampler = mc
[]
[]
[Outputs]
csv = true
execute_on = 'TIMESTEP_END'
[]
(modules/stochastic_tools/examples/parameter_study/master.i)
[StochasticTools]
[]
[Distributions]
[gamma]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[T_0]
type = Normal
mean = -10
standard_deviation = 1.5
[]
[s]
type = Normal
mean = 1
standard_deviation = 0.25
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'gamma q_0 T_0 s'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'diffusion.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = hypercube
parameters = 'Materials/constant/prop_values Kernels/source/value BCs/right/value BCs/left/value'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = hypercube
to_vector_postprocessor = results
from_postprocessor = 'T_avg q_left'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[samples]
type = SamplerData
sampler = hypercube
[]
[stats]
type = Statistics
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[]
(modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/wrong_multi_app.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = TransientMultiApp
input_files = sub.i
positions = '0 0 0'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = avg
execute_on = timestep_end
check_multiapp_execute_on = false
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/examples/surrogates/combined/trans_diff_2d/trans_diff_main.i)
[StochasticTools]
[]
[Distributions]
[C_dist]
type = Uniform
lower_bound = 0.01
upper_bound = 0.02
[]
[f_dist]
type = Uniform
lower_bound = 15
upper_bound = 25
[]
[init_dist]
type = Uniform
lower_bound = 270
upper_bound = 330
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 2000
distributions = 'C_dist f_dist init_dist'
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'trans_diff_sub.i'
[]
[]
[Controls]
[cmdline]
type = MultiAppCommandLineControl
multi_app = runner
sampler = hypercube
param_names = 'Materials/diff_coeff/constant_expressions Functions/src_func/vals Variables/T/initial_condition'
[]
[]
[Transfers]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = hypercube
to_vector_postprocessor = results
from_postprocessor = 'time_max time_min'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[stats]
type = Statistics
vectorpostprocessors = results
compute = 'mean stddev'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/test/tests/surrogates/load_store/train.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'poly_chaos'
execute_on = FINAL
[]
[]
(modules/combined/examples/stochastic/lhs_uniform.i)
[StochasticTools]
[]
[Distributions]
[cond_inner]
type = Uniform
lower_bound = 20
upper_bound = 30
[]
[cond_outer]
type = Uniform
lower_bound = 90
upper_bound = 110
[]
[heat_source]
type = Uniform
lower_bound = 9000
upper_bound = 11000
[]
[alpha_inner]
type = Uniform
lower_bound = 1e-6
upper_bound = 3e-6
[]
[alpha_outer]
type = Uniform
lower_bound = 5e-7
upper_bound = 1.5e-6
[]
[ymod_inner]
type = Uniform
lower_bound = 2e5
upper_bound = 2.2e5
[]
[ymod_outer]
type = Uniform
lower_bound = 3e5
upper_bound = 3.2e5
[]
[prat_inner]
type = Uniform
lower_bound = 0.29
upper_bound = 0.31
[]
[prat_outer]
type = Uniform
lower_bound = 0.19
upper_bound = 0.21
[]
[]
[Samplers]
[sample]
type = LatinHypercube
num_rows = 100000
distributions = 'cond_inner cond_outer heat_source alpha_inner alpha_outer ymod_inner ymod_outer prat_inner prat_outer'
execute_on = INITIAL
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = graphite_ring_thermomechanics.i
sampler = sample
mode = batch-reset
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'Materials/cond_inner/prop_values Materials/cond_outer/prop_values
Postprocessors/heat_source/scale_factor
Materials/thermal_strain_inner/thermal_expansion_coeff Materials/thermal_strain_outer/thermal_expansion_coeff
Materials/elasticity_tensor_inner/youngs_modulus Materials/elasticity_tensor_outer/youngs_modulus
Materials/elasticity_tensor_inner/poissons_ratio Materials/elasticity_tensor_outer/poissons_ratio'
to_control = 'stochastic'
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = 'temp_center_inner temp_center_outer temp_end_inner temp_end_outer
dispx_center_inner dispx_center_outer dispx_end_inner dispx_end_outer
dispz_inner dispz_outer'
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[stats]
type = Statistics
vectorpostprocessors = 'storage'
compute = 'mean stddev'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = TIMESTEP_END
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad_locs.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Normal
mean = 5
standard_deviation = 0.5
[]
[S_dist]
type = Normal
mean = 8
standard_deviation = 0.7
[]
[]
[Samplers]
[grid]
type = CartesianProduct
linear_space_items = '2.5 0.5 10 3 1 10'
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[local_sense]
type = PolynomialChaosLocalSensitivity
pc_name = poly_chaos
local_points_sampler = grid
local_points = '3.14159 3.14159 2.7182 3.14159 3.14159 2.7182 2.7182 2.7182'
output_points = true
sensitivity_parameters = '0 1'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
execute_on = TIMESTEP_BEGIN
check_multiapp_execute_on = false
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master_2sub.i)
[StochasticTools]
[]
[Distributions]
[uniform_0]
type = Uniform
lower_bound = 100
upper_bound = 200
[]
[uniform_1]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[mc0]
type = MonteCarlo
num_rows = 15
distributions = 'uniform_0'
execute_on = INITIAL
[]
[mc1]
type = MonteCarlo
num_rows = 15
distributions = 'uniform_1'
execute_on = INITIAL
[]
[]
[MultiApps]
[runner0]
type = SamplerFullSolveMultiApp
sampler = mc0
input_files = 'sub.i'
mode = batch-reset
[]
[runner1]
type = SamplerFullSolveMultiApp
sampler = mc1
input_files = 'sub.i'
mode = batch-reset
[]
[]
[Transfers]
[runner0]
type = SamplerParameterTransfer
multi_app = runner0
sampler = mc0
parameters = 'BCs/left/value'
to_control = 'stochastic'
[]
[runner1]
type = SamplerParameterTransfer
multi_app = runner1
sampler = mc1
parameters = 'BCs/right/value'
to_control = 'stochastic'
[]
[data0]
type = SamplerPostprocessorTransfer
multi_app = runner0
sampler = mc0
to_vector_postprocessor = storage0
from_postprocessor = average
[]
[data1]
type = SamplerPostprocessorTransfer
multi_app = runner1
sampler = mc1
to_vector_postprocessor = storage1
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage0]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[storage1]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[data0]
type = SamplerData
sampler = mc0
[]
[data1]
type = SamplerData
sampler = mc1
[]
[]
[Outputs]
csv = true
execute_on = 'TIMESTEP_END'
[]
(modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/full_order.i)
[StochasticTools]
[]
[Distributions]
[D012_dist]
type = Uniform
lower_bound = 0.2
upper_bound = 0.8
[]
[D3_dist]
type = Uniform
lower_bound = 0.15
upper_bound = 0.6
[]
[absxs0_dist]
type = Uniform
lower_bound = 0.0425
upper_bound = 0.17
[]
[absxs1_dist]
type = Uniform
lower_bound = 0.065
upper_bound = 0.26
[]
[absxs2_dist]
type = Uniform
lower_bound = 0.04
upper_bound = 0.16
[]
[absxs3_dist]
type = Uniform
lower_bound = 0.005
upper_bound = 0.02
[]
[src_dist]
type = Uniform
lower_bound = 5
upper_bound = 20
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'D012_dist D012_dist D012_dist D3_dist
absxs0_dist absxs1_dist absxs2_dist absxs3_dist
src_dist src_dist src_dist'
num_rows = 1000
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
execute_on = 'timestep_begin'
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = runner
sampler = sample
parameters = 'Materials/D0/prop_values
Materials/D1/prop_values
Materials/D2/prop_values
Materials/D3/prop_values
Materials/absxs0/prop_values
Materials/absxs1/prop_values
Materials/absxs2/prop_values
Materials/absxs3/prop_values
Kernels/src0/value
Kernels/src1/value
Kernels/src2/value'
to_control = 'stochastic'
execute_on = 'timestep_begin'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = sample
to_vector_postprocessor = results
from_postprocessor = 'nodal_l2'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/examples/batch/full_solve.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 9
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 10
distributions = 'uniform uniform'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
parameters = 'BCs/left/value BCs/right/value'
to_control = receiver
sampler = mc
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
to_vector_postprocessor = storage
from_postprocessor = average
sampler = mc
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Postprocessors]
[total]
type = MemoryUsage
execute_on = 'INITIAL TIMESTEP_END'
[]
[per_proc]
type = MemoryUsage
value_type = "average"
execute_on = 'INITIAL TIMESTEP_END'
[]
[max_proc]
type = MemoryUsage
value_type = "max_process"
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
perf_graph = true
[]
(modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_vector.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 5
upper_bound = 10
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform uniform uniform uniform'
execute_on = 'PRE_MULTIAPP_SETUP'
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
sampler = sample
input_files = 'sub.i'
mode = batch-reset
[]
[]
[Transfers]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = size
[]
[prop_A]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = prop_A
from_postprocessor = prop_A
[]
[prop_B]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = prop_B
from_postprocessor = prop_B
[]
[prop_C]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = prop_C
from_postprocessor = prop_C
[]
[prop_D]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = prop_D
from_postprocessor = prop_D
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[prop_A]
type = StochasticResults
[]
[prop_B]
type = StochasticResults
[]
[prop_C]
type = StochasticResults
[]
[prop_D]
type = StochasticResults
[]
[sample_data]
type = SamplerData
sampler = sample
[]
[]
[Controls]
[cmdline]
type = MultiAppCommandLineControl
multi_app = sub
sampler = sample
param_names = 'Mesh/xmax[0] Materials/const/prop_values[1,(1.5),2,2] Mesh/ymax[3]'
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/multiapps/partitioning/main_transient.i)
[StochasticTools]
[]
[Samplers/sample]
type = CartesianProduct
linear_space_items = '0 1 5'
execute_on = PRE_MULTIAPP_SETUP
[]
[GlobalParams]
sampler = sample
[]
[MultiApps/sub]
type = SamplerTransientMultiApp
input_files = sub_transient.i
[]
[Controls/cli]
type = MultiAppCommandLineControl
multi_app = sub
param_names = 'Postprocessors/pp1/scale_factor'
[]
[Transfers]
[param]
type = SamplerParameterTransfer
multi_app = sub
to_control = receiver
parameters = 'Postprocessors/pp2/scale_factor'
[]
[rep]
type = SamplerReporterTransfer
multi_app = sub
stochastic_reporter = reporter
from_reporter = 'pp1/value'
[]
[pp]
type = SamplerPostprocessorTransfer
multi_app = sub
to_vector_postprocessor = vpp
from_postprocessor = 'pp2'
[]
[]
[VectorPostprocessors/vpp]
type = StochasticResults
[]
[Reporters]
[reporter]
type = StochasticReporter
outputs = none
[]
[check]
type = TestReporterPartitioning
sampler = sample
reporters = 'reporter/rep:pp1:value vpp/pp:pp2'
[]
[]
[Executioner]
type = Transient
num_steps = 3
[]
[Outputs]
csv = true
execute_on = timestep_end
[]
(modules/stochastic_tools/test/tests/multiapps/transient_with_full_solve/main.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 10
[]
[]
[Samplers]
[dynamic]
type = MonteCarlo
num_rows = 5
distributions = 'uniform'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = dynamic
input_files = 'sub.i'
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = dynamic
parameters = 'BCs/right/value'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = dynamic
to_vector_postprocessor = results
from_postprocessor = 'center'
[]
[]
[Executioner]
type = Transient
num_steps = 2
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[]
[Outputs]
[out]
type = JSON
execute_system_information_on = NONE
vectorpostprocessors_as_reporters = true
[]
[]
(modules/stochastic_tools/examples/batch/transient.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 9
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 10
distributions = 'uniform uniform'
[]
[]
[Executioner]
type = Transient
num_steps = 10
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
execute_on = 'INITIAL TIMESTEP_END'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
parameters = 'BCs/left/value BCs/right/value'
to_control = receiver
sampler = mc
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
to_vector_postprocessor = storage
from_postprocessor = average
sampler = mc
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Postprocessors]
[total]
type = MemoryUsage
execute_on = 'INITIAL TIMESTEP_END'
[]
[per_proc]
type = MemoryUsage
value_type = "average"
execute_on = 'INITIAL TIMESTEP_END'
[]
[max_proc]
type = MemoryUsage
value_type = "max_process"
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
perf_graph = true
[]
(modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_master_uniform.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Uniform
lower_bound = 0.21
upper_bound = 0.39
[]
[mu2]
type = Uniform
lower_bound = 6.3
upper_bound = 11.7
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'mu1 mu2'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'nonlin_diff_react_sub.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = hypercube
parameters = 'Kernels/nonlin_function/mu1 Kernels/nonlin_function/mu2'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = hypercube
to_vector_postprocessor = results
from_postprocessor = 'max min average'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[stats]
type = Statistics
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[]
(modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_multiple.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 5
upper_bound = 10
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform uniform'
execute_on = 'PRE_MULTIAPP_SETUP'
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
sampler = sample
input_files = 'sub.i'
[]
[]
[Transfers]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = size
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Controls]
[cmdline]
type = MultiAppCommandLineControl
multi_app = sub
sampler = sample
param_names = 'Mesh/xmax Mesh/ymax'
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad_moment.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[pc_moments]
type = PolynomialChaosStatistics
pc_name = poly_chaos
compute = 'mean stddev skewness kurtosis'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_single.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 5
upper_bound = 10
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform'
execute_on = 'PRE_MULTIAPP_SETUP'
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
sampler = sample
input_files = 'sub.i'
mode = batch-reset
[]
[]
[Transfers]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = size
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Controls]
[cmdline]
type = MultiAppCommandLineControl
multi_app = sub
sampler = sample
param_names = 'Mesh/xmax'
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/vectorpostprocessors/multiple_stochastic_results/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[mc]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sobol]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[mc]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = mc
[]
[]
[Transfers]
[sobol]
type = SamplerParameterTransfer
multi_app = sobol
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[sobol_data]
type = SamplerPostprocessorTransfer
multi_app = sobol
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[mc]
type = SamplerParameterTransfer
multi_app = mc
sampler = mc
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[mc_data]
type = SamplerPostprocessorTransfer
multi_app = mc
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = "avg max"
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[]
[Executioner]
type = Transient
num_steps = 1
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/cartesian_diverge.i)
[StochasticTools]
[]
[Samplers]
[cartesian]
type = CartesianProduct
linear_space_items = '0 1e-6 5'
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = cartesian
# This parameter will allow the main app to continue if a solve does not converge
ignore_solve_not_converge = true # Default: false
[]
[]
[Transfers]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = cartesian
to_vector_postprocessor = storage
from_postprocessor = avg
# If this is false, the transfer will transfer NaN for sub apps that did not converge.
# If this is true, the transfer will transfer whatever the last computed values are.
keep_solve_fail_value = true # Default: false
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Controls]
[cmdline]
type = MultiAppCommandLineControl
multi_app = sub
sampler = cartesian
param_names = 'Executioner/nl_rel_tol'
[]
[]
[Executioner]
type = Transient
num_steps = 2
[]
[Outputs]
csv = true
execute_on = 'TIMESTEP_END'
[]
(modules/stochastic_tools/test/tests/multiapps/batch_full_solve_multiapp/master_full_solve.i)
[StochasticTools]
[]
[Distributions]
[uniform_0]
type = Uniform
lower_bound = 0.1
upper_bound = 0.3
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_0'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-reset
[]
[]
[Transfers]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[]
(modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_master_normal.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Normal
mean = 0.3
standard_deviation = 0.045
[]
[mu2]
type = Normal
mean = 9
standard_deviation = 1.35
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'mu1 mu2'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'nonlin_diff_react_sub.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = hypercube
parameters = 'Kernels/nonlin_function/mu1 Kernels/nonlin_function/mu2'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = hypercube
to_vector_postprocessor = results
from_postprocessor = 'max min average'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[stats]
type = Statistics
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[]
(modules/stochastic_tools/test/tests/surrogates/load_store/train_and_evaluate.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[pc_moments]
type = PolynomialChaosStatistics
pc_name = poly_chaos
compute = 'mean stddev skewness kurtosis'
execute_on = final
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Outputs]
csv = true
execute_on = FINAL
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2dnorm_quad_moment.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Normal
mean = 5
standard_deviation = 0.5
[]
[S_dist]
type = Normal
mean = 8
standard_deviation = 0.7
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[pc_moments]
type = PolynomialChaosStatistics
pc_name = poly_chaos
compute = 'mean stddev skewness kurtosis'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/multiapps/dynamic_sub_app_number/main.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[mc]
type = TestDynamicNumberOfSubAppsSampler
num_rows = 5
distributions = 'uniform'
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 3
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
execute_on = 'TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
sampler = mc
parameters = 'BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = center
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
[out]
type = JSON
execute_system_information_on = NONE
vectorpostprocessors_as_reporters = true
[]
[]
(modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = DISTRIBUTED
[]
[]
[Executioner]
type = Transient
num_steps = 1
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/test/tests/multiapps/batch_sampler_transient_multiapp/master_transient.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 2
upper_bound = 4
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 5
distributions = 'uniform uniform'
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Executioner]
type = Transient
num_steps = 3
[]
[MultiApps]
[runner]
type = SamplerTransientMultiApp
sampler = mc
input_files = 'sub.i'
execute_on = 'INITIAL TIMESTEP_BEGIN'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = runner
sampler = mc
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
[]
(modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/master.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform_left uniform_right'
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
contains_complete_history = true
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 2
[]
[Outputs]
[out]
type = CSV
[]
[]
(modules/stochastic_tools/test/tests/multiapps/partitioning/main.i)
[StochasticTools]
[]
[Samplers/sample]
type = CartesianProduct
linear_space_items = '0 1 5'
execute_on = PRE_MULTIAPP_SETUP
[]
[GlobalParams]
sampler = sample
[]
[MultiApps/sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
[]
[Controls/cli]
type = MultiAppCommandLineControl
multi_app = sub
param_names = 'Postprocessors/pp1/scale_factor'
[]
[Transfers]
[param]
type = SamplerParameterTransfer
multi_app = sub
to_control = receiver
parameters = 'Postprocessors/pp2/scale_factor'
[]
[rep]
type = SamplerReporterTransfer
multi_app = sub
stochastic_reporter = reporter
from_reporter = 'pp1/value'
[]
[pp]
type = SamplerPostprocessorTransfer
multi_app = sub
to_vector_postprocessor = vpp
from_postprocessor = 'pp2'
[]
[]
[VectorPostprocessors/vpp]
type = StochasticResults
[]
[Reporters]
[reporter]
type = StochasticReporter
outputs = none
[]
[check]
type = TestReporterPartitioning
sampler = sample
reporters = 'reporter/rep:pp1:value vpp/pp:pp2'
[]
[]
[Outputs]
csv = true
execute_on = timestep_end
[]
(modules/stochastic_tools/test/tests/surrogates/poly_chaos/master_2d_quad_locs.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[grid]
type = CartesianProduct
linear_space_items = '2.5 0.5 10 2.5 0.5 10'
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
to_control = 'stochastic'
[]
[data]
type = SamplerPostprocessorTransfer
multi_app = quad_sub
sampler = quadrature
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[local_sense]
type = PolynomialChaosLocalSensitivity
pc_name = poly_chaos
local_points_sampler = grid
local_points = '3.14159 3.14159 2.7182 3.14159 3.14159 2.7182 2.7182 2.7182'
output_points = true
sensitivity_parameters = '0 1'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[]
(modules/stochastic_tools/examples/sobol/master.i)
[StochasticTools]
[]
[Distributions]
[gamma]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[T_0]
type = Normal
mean = -10
standard_deviation = 1.5
[]
[s]
type = Normal
mean = 1
standard_deviation = 0.25
[]
[]
[Samplers]
[hypercube_a]
type = LatinHypercube
num_rows = 10000
distributions = 'gamma q_0 T_0 s'
seed = 2011
[]
[hypercube_b]
type = LatinHypercube
num_rows = 10000
distributions = 'gamma q_0 T_0 s'
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = hypercube_a
sampler_b = hypercube_b
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = sobol
input_files = 'diffusion.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
multi_app = runner
sampler = sobol
parameters = 'Materials/constant/prop_values Kernels/source/value BCs/right/value BCs/left/value'
to_control = 'stochastic'
[]
[results]
type = SamplerPostprocessorTransfer
multi_app = runner
sampler = sobol
to_vector_postprocessor = results
from_postprocessor = 'T_avg q_left'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[samples]
type = SamplerData
sampler = sobol
[]
[stats]
type = Statistics
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[sobol]
type = SobolStatistics
sampler = sobol
results = results
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[]