multifidelity_stoch_collocation
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocSelection
Generated model for MultifidelityStochCollocSelection
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{ "title": "MultifidelityStochCollocSelection", "description": "Generated model for MultifidelityStochCollocSelection", "type": "object", "properties": { "multifidelity_stoch_collocation": { "$ref": "#/$defs/MultifidelityStochCollocConfig", "x-materialization": [ { "ir_key": "method.algorithm", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "MULTIFIDELITY_STOCH_COLLOCATION" } ] } }, "$defs": { "Active": { "additionalProperties": false, "description": "use statistics for the active expansion within multifidelity refinement", "properties": { "active": { "const": true, "default": true, "description": "use statistics for the active expansion within multifidelity refinement", "title": "Active", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.refinement_statistics_mode", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "ACTIVE_EXPANSION_STATS" } ] } }, "title": "Active", "type": "object" }, "Debug": { "additionalProperties": false, "description": "Level 5 of 5 - maximum", "properties": { "debug": { "const": true, "default": true, "description": "Level 5 of 5 - maximum", "title": "Debug", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DEBUG_OUTPUT" } ] } }, "title": "Debug", "type": "object" }, "DiscrepEmulationDiscrepancyEmulationDistinct": { "additionalProperties": false, "description": "Distinct formulation for emulation of model discrepancies.", "properties": { "distinct": { "const": true, "default": true, "description": "Distinct formulation for emulation of model discrepancies.", "title": "Distinct", "type": "boolean", "x-aliases": [ "paired" ], "x-materialization": [ { "ir_key": "method.nond.multilevel_discrepancy_emulation", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DISTINCT_EMULATION" } ] } }, "title": "DiscrepEmulationDiscrepancyEmulationDistinct", "type": "object" }, "DiscrepEmulationDiscrepancyEmulationRecursive": { "additionalProperties": false, "description": "Recursive formulation for emulation of model discrepancies.", "properties": { "recursive": { "const": true, "default": true, "description": "Recursive formulation for emulation of model discrepancies.", "title": "Recursive", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.multilevel_discrepancy_emulation", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "RECURSIVE_EMULATION" } ] } }, "title": "DiscrepEmulationDiscrepancyEmulationRecursive", "type": "object" }, "ExpansionOptionsDiagCov": { "additionalProperties": false, "description": "Display only the diagonal terms of the covariance matrix", "properties": { "diagonal_covariance": { "const": true, "default": true, "description": "Display only the diagonal terms of the covariance matrix", "title": "Diagonal Covariance", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.covariance_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DIAGONAL_COVARIANCE" } ] } }, "title": "ExpansionOptionsDiagCov", "type": "object" }, "ExpansionOptionsDistributionComplementary": { "additionalProperties": false, "description": "Computes statistics according to complementary cumulative functions", "properties": { "complementary": { "const": true, "default": true, "description": "Computes statistics according to complementary cumulative functions", "title": "Complementary", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.distribution", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "COMPLEMENTARY" } ] } }, "title": "ExpansionOptionsDistributionComplementary", "type": "object" }, "ExpansionOptionsDistributionCumulative": { "additionalProperties": false, "description": "Computes statistics according to cumulative functions", "properties": { "cumulative": { "const": true, "default": true, "description": "Computes statistics according to cumulative functions", "title": "Cumulative", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.distribution", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "CUMULATIVE" } ] } }, "title": "ExpansionOptionsDistributionCumulative", "type": "object" }, "ExpansionOptionsExportApproxPointsFile": { "additionalProperties": false, "description": "Output file for surrogate model value evaluations", "properties": { "filename": { "description": "Output file for surrogate model value evaluations", "title": "Filename", "type": "string", "x-materialization": [ { "ir_key": "method.export_approx_points_file", "ir_value_type": "String", "storage_type": "DIRECT_VALUE" } ] }, "format": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsExportApproxPointsFileCustomAnnotated" }, { "$ref": "#/$defs/ExpansionOptionsExportApproxPointsFileAnnotated" }, { "$ref": "#/$defs/ExpansionOptionsExportApproxPointsFileFreeform" } ], "description": "Tabular Format", "title": "Format", "x-model-default": "ExpansionOptionsExportApproxPointsFileAnnotated", "x-union-pattern": 1 } }, "required": [ "filename" ], "title": "ExpansionOptionsExportApproxPointsFile", "type": "object" }, "ExpansionOptionsExportApproxPointsFileAnnotated": { "additionalProperties": false, "description": "Selects annotated tabular file format", "properties": { "annotated": { "const": true, "default": true, "description": "Selects annotated tabular file format", "title": "Annotated", "type": "boolean", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_ANNOTATED" } ] } }, "title": "ExpansionOptionsExportApproxPointsFileAnnotated", "type": "object" }, "ExpansionOptionsExportApproxPointsFileCustomAnnotated": { "additionalProperties": false, "description": "Selects custom-annotated tabular file format", "properties": { "custom_annotated": { "$ref": "#/$defs/ExpansionOptionsExportApproxPointsFileCustomAnnotatedConfig", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_NONE" } ], "x-model-default": "ExpansionOptionsExportApproxPointsFileCustomAnnotatedConfig" } }, "title": "ExpansionOptionsExportApproxPointsFileCustomAnnotated", "type": "object" }, "ExpansionOptionsExportApproxPointsFileCustomAnnotatedConfig": { "additionalProperties": false, "description": "Selects custom-annotated tabular file format", "properties": { "header": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Enable header row in custom-annotated tabular file", "title": "Header", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "AUGMENT_ENUM", "stored_value": "TABULAR_HEADER" } ] }, "eval_id": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Enable evaluation ID column in custom-annotated tabular file", "title": "Eval Id", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "AUGMENT_ENUM", "stored_value": "TABULAR_EVAL_ID" } ] }, "interface_id": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Enable interface ID column in custom-annotated tabular file", "title": "Interface Id", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "AUGMENT_ENUM", "stored_value": "TABULAR_IFACE_ID" } ] } }, "title": "ExpansionOptionsExportApproxPointsFileCustomAnnotatedConfig", "type": "object" }, "ExpansionOptionsExportApproxPointsFileFreeform": { "additionalProperties": false, "description": "Selects freeform file format", "properties": { "freeform": { "const": true, "default": true, "description": "Selects freeform file format", "title": "Freeform", "type": "boolean", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_NONE" } ] } }, "title": "ExpansionOptionsExportApproxPointsFileFreeform", "type": "object" }, "ExpansionOptionsFinalMomentsCentral": { "additionalProperties": false, "description": "Output central moments and include them within the set of final statistics.", "properties": { "central": { "const": true, "default": true, "description": "Output central moments and include them within the set of final statistics.", "title": "Central", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.final_moments", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "CENTRAL_MOMENTS" } ] } }, "title": "ExpansionOptionsFinalMomentsCentral", "type": "object" }, "ExpansionOptionsFinalMomentsNoneKeyword": { "additionalProperties": false, "description": "Omit moments from the set of final statistics.", "properties": { "none": { "const": true, "default": true, "description": "Omit moments from the set of final statistics.", "title": "None", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.final_moments", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NO_MOMENTS" } ] } }, "title": "ExpansionOptionsFinalMomentsNoneKeyword", "type": "object" }, "ExpansionOptionsFinalMomentsStandard": { "additionalProperties": false, "description": "Output standardized moments and include them within the set of final statistics.", "properties": { "standard": { "const": true, "default": true, "description": "Output standardized moments and include them within the set of final statistics.", "title": "Standard", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.final_moments", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "STANDARD_MOMENTS" } ] } }, "title": "ExpansionOptionsFinalMomentsStandard", "type": "object" }, "ExpansionOptionsFullCov": { "additionalProperties": false, "description": "Display the full covariance matrix", "properties": { "full_covariance": { "const": true, "default": true, "description": "Display the full covariance matrix", "title": "Full Covariance", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.covariance_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "FULL_COVARIANCE" } ] } }, "title": "ExpansionOptionsFullCov", "type": "object" }, "ExpansionOptionsGenReliabilityLevels": { "additionalProperties": false, "description": "Specify generalized relability levels at which to estimate the corresponding response value", "properties": { "values": { "description": "Specify generalized relability levels at which to estimate the corresponding response value", "items": { "type": "number" }, "title": "Values", "type": "array" }, "num_gen_reliability_levels": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Specify which ``gen_reliability_levels`` correspond to which response", "title": "Num Gen Reliability Levels" } }, "required": [ "values" ], "title": "ExpansionOptionsGenReliabilityLevels", "type": "object", "x-model-validations": [ { "validationContext": "expansionoptionsgenreliabilitylevels", "validationErrorMessage": "For expansionoptionsgenreliabilitylevels, sum of num_gen_reliability_levels must equal length of values.", "validationFields": [ "num_gen_reliability_levels", "values" ], "validationLiterals": [], "validationRuleName": "check_sum_equals_length" } ] }, "ExpansionOptionsProbabilityLevels": { "additionalProperties": false, "description": "Specify probability levels at which to estimate the corresponding response value", "properties": { "values": { "description": "Specify probability levels at which to estimate the corresponding response value", "items": { "type": "number" }, "title": "Values", "type": "array" }, "num_probability_levels": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Specify which ``probability_levels`` correspond to which response", "title": "Num Probability Levels" } }, "required": [ "values" ], "title": "ExpansionOptionsProbabilityLevels", "type": "object", "x-model-validations": [ { "validationContext": "expansionoptionsprobabilitylevels", "validationErrorMessage": "For expansionoptionsprobabilitylevels, all elements of values must be in [0, 1].", "validationFields": [ "values" ], "validationLiterals": [], "validationRuleName": "check_probability_list" }, { "validationContext": "expansionoptionsprobabilitylevels", "validationErrorMessage": "For expansionoptionsprobabilitylevels, sum of num_probability_levels must equal length of values.", "validationFields": [ "num_probability_levels", "values" ], "validationLiterals": [], "validationRuleName": "check_sum_equals_length" } ] }, "ExpansionOptionsProbabilityRefinement": { "additionalProperties": false, "description": "Allow refinement of probability and generalized reliability results using importance sampling", "properties": { "importance_sampling_approach": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsProbabilityRefinementImportance" }, { "$ref": "#/$defs/ExpansionOptionsProbabilityRefinementAdaptImport" }, { "$ref": "#/$defs/ExpansionOptionsProbabilityRefinementMmAdaptImport" } ], "description": "Importance Sampling Approach", "title": "Importance Sampling Approach", "x-union-pattern": 4 }, "refinement_samples": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Number of samples used to refine a probability estimate or sampling design.", "title": "Refinement Samples", "x-materialization": [ { "ir_key": "method.nond.refinement_samples", "ir_value_type": "IntVector", "storage_type": "DIRECT_VALUE" } ] } }, "required": [ "importance_sampling_approach" ], "title": "ExpansionOptionsProbabilityRefinement", "type": "object" }, "ExpansionOptionsProbabilityRefinementAdaptImport": { "additionalProperties": false, "description": "Importance sampling option for probability refinement", "properties": { "adapt_import": { "const": true, "default": true, "description": "Importance sampling option for probability refinement", "title": "Adapt Import", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.integration_refinement", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "AIS" } ] } }, "title": "ExpansionOptionsProbabilityRefinementAdaptImport", "type": "object" }, "ExpansionOptionsProbabilityRefinementImportance": { "additionalProperties": false, "description": "Importance sampling option for probability refinement", "properties": { "importance": { "const": true, "default": true, "description": "Importance sampling option for probability refinement", "title": "Importance", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.integration_refinement", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "IS" } ] } }, "title": "ExpansionOptionsProbabilityRefinementImportance", "type": "object" }, "ExpansionOptionsProbabilityRefinementMmAdaptImport": { "additionalProperties": false, "description": "Importance sampling option for probability refinement", "properties": { "mm_adapt_import": { "const": true, "default": true, "description": "Importance sampling option for probability refinement", "title": "Mm Adapt Import", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.integration_refinement", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "MMAIS" } ] } }, "title": "ExpansionOptionsProbabilityRefinementMmAdaptImport", "type": "object" }, "ExpansionOptionsReliabilityLevels": { "additionalProperties": false, "description": "Specify reliability levels at which the response values will be estimated", "properties": { "values": { "description": "Specify reliability levels at which the response values will be estimated", "items": { "type": "number" }, "title": "Values", "type": "array" }, "num_reliability_levels": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Specify which ``reliability_levels`` correspond to which response", "title": "Num Reliability Levels" } }, "required": [ "values" ], "title": "ExpansionOptionsReliabilityLevels", "type": "object", "x-model-validations": [ { "validationContext": "expansionoptionsreliabilitylevels", "validationErrorMessage": "For expansionoptionsreliabilitylevels, sum of num_reliability_levels must equal length of values.", "validationFields": [ "num_reliability_levels", "values" ], "validationLiterals": [], "validationRuleName": "check_sum_equals_length" } ] }, "ExpansionOptionsResponseLevels": { "additionalProperties": false, "description": "Values at which to estimate desired statistics for each response", "properties": { "values": { "description": "Values at which to estimate desired statistics for each response", "items": { "type": "number" }, "title": "Values", "type": "array" }, "num_response_levels": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Number of values at which to estimate desired statistics for each response", "title": "Num Response Levels" }, "compute": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsResponseLevelsCompute" }, { "type": "null" } ], "default": null, "description": "Selection of statistics to compute at each response level" } }, "required": [ "values" ], "title": "ExpansionOptionsResponseLevels", "type": "object", "x-model-validations": [ { "validationContext": "expansionoptionsresponselevels", "validationErrorMessage": "For expansionoptionsresponselevels, sum of num_response_levels must equal length of values.", "validationFields": [ "num_response_levels", "values" ], "validationLiterals": [], "validationRuleName": "check_sum_equals_length" } ] }, "ExpansionOptionsResponseLevelsCompute": { "additionalProperties": false, "description": "Selection of statistics to compute at each response level", "properties": { "statistic": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeProbabilities" }, { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeReliabilities" }, { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeGenReliabilities" } ], "description": "Statistics to Compute", "title": "Statistic", "x-union-pattern": 4 }, "system": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeSystemSeries" }, { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeSystemParallel" }, { "type": "null" } ], "default": null, "description": "Compute system reliability (series or parallel)", "title": "System", "x-union-pattern": 2 } }, "required": [ "statistic" ], "title": "ExpansionOptionsResponseLevelsCompute", "type": "object" }, "ExpansionOptionsResponseLevelsComputeGenReliabilities": { "additionalProperties": false, "description": "Computes generalized reliabilities associated with response levels", "properties": { "gen_reliabilities": { "const": true, "default": true, "description": "Computes generalized reliabilities associated with response levels", "title": "Gen Reliabilities", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "GEN_RELIABILITIES" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeGenReliabilities", "type": "object" }, "ExpansionOptionsResponseLevelsComputeProbabilities": { "additionalProperties": false, "description": "Computes probabilities associated with response levels", "properties": { "probabilities": { "const": true, "default": true, "description": "Computes probabilities associated with response levels", "title": "Probabilities", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "PROBABILITIES" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeProbabilities", "type": "object" }, "ExpansionOptionsResponseLevelsComputeReliabilities": { "additionalProperties": false, "description": "Computes reliabilities associated with response levels", "properties": { "reliabilities": { "const": true, "default": true, "description": "Computes reliabilities associated with response levels", "title": "Reliabilities", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "RELIABILITIES" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeReliabilities", "type": "object" }, "ExpansionOptionsResponseLevelsComputeSystemParallel": { "additionalProperties": false, "description": "Aggregate response statistics assuming a parallel system", "properties": { "parallel": { "const": true, "default": true, "description": "Aggregate response statistics assuming a parallel system", "title": "Parallel", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target_reduce", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "SYSTEM_PARALLEL" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeSystemParallel", "type": "object" }, "ExpansionOptionsResponseLevelsComputeSystemSeries": { "additionalProperties": false, "description": "Aggregate response statistics assuming a series system", "properties": { "series": { "const": true, "default": true, "description": "Aggregate response statistics assuming a series system", "title": "Series", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target_reduce", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "SYSTEM_SERIES" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeSystemSeries", "type": "object" }, "ExpansionOptionsRngMt19937": { "additionalProperties": false, "description": "Generates random numbers using the Mersenne twister", "properties": { "mt19937": { "const": true, "default": true, "description": "Generates random numbers using the Mersenne twister", "title": "Mt19937", "type": "boolean", "x-materialization": [ { "ir_key": "method.random_number_generator", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "mt19937" } ] } }, "title": "ExpansionOptionsRngMt19937", "type": "object" }, "ExpansionOptionsRngRnum2": { "additionalProperties": false, "description": "Generates pseudo-random numbers using the Pecos package", "properties": { "rnum2": { "const": true, "default": true, "description": "Generates pseudo-random numbers using the Pecos package", "title": "Rnum2", "type": "boolean", "x-materialization": [ { "ir_key": "method.random_number_generator", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "rnum2" } ] } }, "title": "ExpansionOptionsRngRnum2", "type": "object" }, "ExpansionOptionsSampleTypeLhs": { "additionalProperties": false, "description": "Uses Latin Hypercube Sampling (LHS) to sample variables", "properties": { "lhs": { "const": true, "default": true, "description": "Uses Latin Hypercube Sampling (LHS) to sample variables", "title": "Lhs", "type": "boolean", "x-materialization": [ { "ir_key": "method.sample_type", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "SUBMETHOD_LHS" } ] } }, "title": "ExpansionOptionsSampleTypeLhs", "type": "object" }, "ExpansionOptionsSampleTypeRandom": { "additionalProperties": false, "description": "Uses purely random Monte Carlo sampling to sample variables", "properties": { "random": { "const": true, "default": true, "description": "Uses purely random Monte Carlo sampling to sample variables", "title": "Random", "type": "boolean", "x-materialization": [ { "ir_key": "method.sample_type", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "SUBMETHOD_RANDOM" } ] } }, "title": "ExpansionOptionsSampleTypeRandom", "type": "object" }, "ExpansionOptionsVarianceBasedDecomp": { "additionalProperties": false, "description": "Activates global sensitivity analysis based on decomposition of response variance into main, interaction, and total effects", "properties": { "interaction_order": { "anyOf": [ { "exclusiveMinimum": 0, "type": "integer" }, { "type": "null" } ], "default": null, "description": "Specify the maximum number of variables allowed in an interaction when reporting interaction metrics.", "title": "Interaction Order", "x-materialization": [ { "ir_key": "method.nond.vbd_interaction_order", "ir_value_type": "unsigned short", "storage_type": "DIRECT_VALUE" } ] }, "drop_tolerance": { "default": -1.0, "description": "Suppresses output of sensitivity indices with values lower than this tolerance", "title": "Drop Tolerance", "type": "number", "x-materialization": [ { "ir_key": "method.vbd_drop_tolerance", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] } }, "title": "ExpansionOptionsVarianceBasedDecomp", "type": "object" }, "HRefinementDimAdaptiveGeneralized": { "additionalProperties": false, "description": "Use the generalized sparse grid dimension adaptive algorithm to refine a sparse grid approximation of stochastic expansion.", "properties": { "generalized": { "const": true, "default": true, "description": "Use the generalized sparse grid dimension adaptive algorithm to refine a sparse grid approximation of stochastic expansion.", "title": "Generalized", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DIMENSION_ADAPTIVE_CONTROL_GENERALIZED" } ] } }, "title": "HRefinementDimAdaptiveGeneralized", "type": "object" }, "HRefinementDimAdaptiveSobol": { "additionalProperties": false, "description": "Estimate dimension preference for automated refinement of stochastic expansion using total Sobol' sensitivity indices.", "properties": { "sobol": { "const": true, "default": true, "description": "Estimate dimension preference for automated refinement of stochastic expansion using total Sobol' sensitivity indices.", "title": "Sobol", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": 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"type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NON_NESTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceNonNested", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceRestricted": { "additionalProperties": false, "description": "Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.", "properties": { "restricted": { "const": true, "default": true, "description": "Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.", "title": "Restricted", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.growth_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "RESTRICTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceRestricted", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceUnrestricted": { "additionalProperties": false, "description": "Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.", "properties": { "unrestricted": { "const": true, "default": true, "description": "Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.", "title": "Unrestricted", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.growth_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "UNRESTRICTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceUnrestricted", "type": "object" }, "Normal": { "additionalProperties": false, "description": "Level 3 of 5 - default", "properties": { "normal": { "const": true, "default": true, "description": "Level 3 of 5 - default", "title": "Normal", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NORMAL_OUTPUT" } ] } }, "title": "Normal", "type": "object" }, "Quiet": { "additionalProperties": false, "description": "Level 2 of 5 - less than normal", "properties": { "quiet": { "const": true, "default": true, "description": "Level 2 of 5 - less than normal", "title": "Quiet", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "QUIET_OUTPUT" } ] } }, "title": "Quiet", "type": "object" }, "RefinementMetricCov": { "additionalProperties": false, "description": "Utilize the response covariance metric for guiding adaptive refinement during UQ.", "properties": { "covariance": { "const": true, "default": true, "description": "Utilize the response covariance metric for guiding adaptive refinement during UQ.", "title": "Covariance", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_metric", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "COVARIANCE_METRIC" } ] } }, "title": "RefinementMetricCov", "type": "object" }, "ScOptionsAskey": { "additionalProperties": false, "description": "Select the standardized random variables (and associated basis polynomials) from the Askey family that best match the user-specified random variables.", "properties": { "askey": { "const": true, "default": true, "description": "Select the standardized random variables (and associated basis polynomials) from the Askey family that best match the user-specified random variables.", "title": "Askey", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.expansion_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "ASKEY_U" } ] } }, "title": "ScOptionsAskey", "type": "object" }, "ScOptionsPiecewise": { "additionalProperties": false, "description": "Use piecewise local basis functions", "properties": { "piecewise": { "const": true, "default": true, "description": "Use piecewise local basis functions", "title": "Piecewise", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.expansion_type", "ir_value_type": "short", "secondary_ir_key": "method.nond.piecewise_basis", "secondary_ir_value_type": "bool", "secondary_literal_value": true, "storage_type": "METHOD_PIECEWISE", "stored_value": "STD_UNIFORM_U" } ] } }, "title": "ScOptionsPiecewise", "type": "object" }, "ScOptionsWiener": { "additionalProperties": false, "description": "Use standard normal random variables (along with Hermite orthogonal basis polynomials) when transforming to a standardized probability space.", "properties": { "wiener": { "const": true, "default": true, "description": "Use standard normal random variables (along with Hermite orthogonal basis polynomials) when transforming to a standardized probability space.", "title": "Wiener", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.expansion_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "STD_NORMAL_U" } ] } }, "title": "ScOptionsWiener", "type": "object" }, "ScRefinementHRefinement": { "additionalProperties": false, "description": "Employ h-refinement to refine the grid", "properties": { "h_refinement": { "anyOf": [ { "$ref": "#/$defs/HRefinementUniform" }, { "$ref": "#/$defs/ScRefinementHRefinementDimAdaptive" }, { "$ref": "#/$defs/ScRefinementHRefinementLocalAdaptive" } ], "description": "Employ h-refinement to refine the grid", "title": "H Refinement", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "H_REFINEMENT" } ] } }, "required": [ "h_refinement" ], "title": "ScRefinementHRefinement", "type": "object" }, "ScRefinementHRefinementDimAdaptive": { "additionalProperties": false, "description": "Perform anisotropic expansion refinement by preferentially adapting in dimensions that are detected to have higher \\\"importance\\\".", "properties": { "dimension_adaptive": { "anyOf": [ { "$ref": "#/$defs/HRefinementDimAdaptiveSobol" }, { "$ref": "#/$defs/HRefinementDimAdaptiveGeneralized" } ], "description": "Perform anisotropic expansion refinement by preferentially adapting in dimensions that are detected to have higher \"importance\".", "title": "Dimension Adaptive" } }, "required": [ "dimension_adaptive" ], "title": "ScRefinementHRefinementDimAdaptive", "type": "object" }, "ScRefinementHRefinementLocalAdaptive": { "additionalProperties": false, "description": "Planned future capability for local pointwise refinement within a generalized sparse grid.", "properties": { "local_adaptive": { "const": true, "default": true, "description": "Planned future capability for local pointwise refinement within a generalized sparse grid.", "title": "Local Adaptive", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "LOCAL_ADAPTIVE_CONTROL" } ] } }, "title": "ScRefinementHRefinementLocalAdaptive", "type": "object" }, "ScRefinementPRefinement": { "additionalProperties": false, "description": "Automatic polynomial order refinement", "properties": { "p_refinement": { "anyOf": [ { "$ref": "#/$defs/ScRefinementPRefinementUniform" }, { "$ref": "#/$defs/ScRefinementPRefinementDimAdaptive" } ], "description": "Automatic polynomial order refinement", "title": "P Refinement", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "P_REFINEMENT" } ] } }, "required": [ "p_refinement" ], "title": "ScRefinementPRefinement", "type": "object" }, "ScRefinementPRefinementDimAdaptive": { "additionalProperties": false, "description": "Perform anisotropic expansion refinement by preferentially adapting in dimensions that are detected to have higher \\\"importance\\\".", "properties": { "dimension_adaptive": { "anyOf": [ { "$ref": "#/$defs/ScRefinementPRefinementDimAdaptiveSobol" }, { "$ref": "#/$defs/ScRefinementPRefinementDimAdaptiveGeneralized" } ], "description": "Perform anisotropic expansion refinement by preferentially adapting in dimensions that are detected to have higher \"importance\".", "title": "Dimension Adaptive" } }, "required": [ "dimension_adaptive" ], "title": "ScRefinementPRefinementDimAdaptive", "type": "object" }, "ScRefinementPRefinementDimAdaptiveGeneralized": { "additionalProperties": false, "description": "Use the generalized sparse grid dimension adaptive algorithm to refine a sparse grid approximation of stochastic expansion.", "properties": { "generalized": { "const": true, "default": true, "description": "Use the generalized sparse grid dimension adaptive algorithm to refine a sparse grid approximation of stochastic expansion.", "title": "Generalized", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DIMENSION_ADAPTIVE_CONTROL_GENERALIZED" } ] } }, "title": "ScRefinementPRefinementDimAdaptiveGeneralized", "type": "object" }, "ScRefinementPRefinementDimAdaptiveSobol": { "additionalProperties": false, "description": "Estimate dimension preference for automated refinement of stochastic expansion using total Sobol' sensitivity indices.", "properties": { "sobol": { "const": true, "default": true, "description": "Estimate dimension preference for automated refinement of stochastic expansion using total Sobol' sensitivity indices.", "title": "Sobol", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DIMENSION_ADAPTIVE_CONTROL_SOBOL" } ] } }, "title": "ScRefinementPRefinementDimAdaptiveSobol", "type": "object" }, "ScRefinementPRefinementUniform": { "additionalProperties": false, "description": "Refine an expansion uniformly in all dimensions.", "properties": { "uniform": { "const": true, "default": true, "description": "Refine an expansion uniformly in all dimensions.", "title": "Uniform", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "UNIFORM_CONTROL" } ] } }, "title": "ScRefinementPRefinementUniform", "type": "object" }, "Silent": { "additionalProperties": false, "description": "Level 1 of 5 - minimum", "properties": { "silent": { "const": true, "default": true, "description": "Level 1 of 5 - minimum", "title": "Silent", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "SILENT_OUTPUT" } ] } }, "title": "Silent", "type": "object" }, "StatisticsModeCombined": { "additionalProperties": false, "description": "use statistics for the combined expansion within multifidelity refinement", "properties": { "combined": { "const": true, "default": true, "description": "use statistics for the combined expansion within multifidelity refinement", "title": "Combined", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.refinement_statistics_mode", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "COMBINED_EXPANSION_STATS" } ] } }, "title": "StatisticsModeCombined", "type": "object" }, "Verbose": { "additionalProperties": false, "description": "Level 4 of 5 - more than normal", "properties": { "verbose": { "const": true, "default": true, "description": "Level 4 of 5 - more than normal", "title": "Verbose", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "VERBOSE_OUTPUT" } ] } }, "title": "Verbose", "type": "object" } }, "additionalProperties": false, "required": [ "multifidelity_stoch_collocation" ] }
- field multifidelity_stoch_collocation: MultifidelityStochCollocConfig [Required]
- classmethod get_registry() dict[str, type[MethodSelection]]
Get registry, performing deferred registration on first call
- classmethod get_union()
Generate Union from all registered selections
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocConfig
Multifidelity uncertainty quantification using stochastic collocation
Show JSON schema
{ "title": "MultifidelityStochCollocConfig", "description": "Multifidelity uncertainty quantification using stochastic collocation", "type": "object", "properties": { "model_pointer": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Identifier for model block to be used by a method", "title": "Model Pointer", "x-block-pointer": "model", "x-materialization": [ { "ir_key": "method.model_pointer", "ir_value_type": "String", "storage_type": "DIRECT_VALUE" } ] }, "seed_sequence": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Sequence of seed values for multi-stage random sampling", "title": "Seed Sequence", "x-materialization": [ { "ir_key": "method.random_seed_sequence", "ir_value_type": "SizetArray", "storage_type": "DIRECT_VALUE" } ] }, "fixed_seed": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Reuses the same seed value for multiple random sampling sets", "title": "Fixed Seed", "x-materialization": [ { "ir_key": "method.fixed_seed", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "samples_on_emulator": { "default": 0, "description": "Number of samples at which to evaluate an emulator (surrogate)", "title": "Samples On Emulator", "type": "integer", "x-aliases": [ "samples" ], "x-materialization": [ { "ir_key": "method.nond.samples_on_emulator", "ir_value_type": "int", "storage_type": "DIRECT_VALUE" } ] }, "sample_type": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsSampleTypeLhs" }, { "$ref": "#/$defs/ExpansionOptionsSampleTypeRandom" }, { "type": "null" } ], "default": null, "description": "Selection of sampling strategy", "title": "Sample Type", "x-union-pattern": 2 }, "rng": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsRngMt19937" }, { "$ref": "#/$defs/ExpansionOptionsRngRnum2" } ], "description": "Selection of a random number generator", "title": "Rng", "x-model-default": "ExpansionOptionsRngMt19937", "x-union-pattern": 1 }, "probability_refinement": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsProbabilityRefinement" }, { "type": "null" } ], "default": null, "description": "Allow refinement of probability and generalized reliability results using importance sampling", "x-aliases": [ "sample_refinement" ] }, "final_moments": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsFinalMomentsNoneKeyword" }, { "$ref": "#/$defs/ExpansionOptionsFinalMomentsStandard" }, { "$ref": "#/$defs/ExpansionOptionsFinalMomentsCentral" } ], "description": "Output moments of the specified type and include them within the set of final statistics.", "title": "Final Moments", "x-model-default": "ExpansionOptionsFinalMomentsStandard", "x-union-pattern": 1 }, "response_levels": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsResponseLevels" }, { "type": "null" } ], "argument": "values", "default": null, "description": "Values at which to estimate desired statistics for each response", "x-materialization": [ { "ir_key": "method.nond.response_levels", "ir_value_type": "RealVectorArray", "storage_type": "RESPONSE_LEVELS_ARRAY" } ] }, "probability_levels": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsProbabilityLevels" }, { "type": "null" } ], "argument": "values", "default": null, "description": "Specify probability levels at which to estimate the corresponding response value", "x-materialization": [ { "ir_key": "method.nond.probability_levels", "ir_value_type": "RealVectorArray", "storage_type": "RESPONSE_LEVELS_ARRAY" } ] }, "reliability_levels": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsReliabilityLevels" }, { "type": "null" } ], "argument": "values", "default": null, "description": "Specify reliability levels at which the response values will be estimated", "x-materialization": [ { "ir_key": "method.nond.reliability_levels", "ir_value_type": "RealVectorArray", "storage_type": "RESPONSE_LEVELS_ARRAY" } ] }, "gen_reliability_levels": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsGenReliabilityLevels" }, { "type": "null" } ], "argument": "values", "default": null, "description": "Specify generalized relability levels at which to estimate the corresponding response value", "x-materialization": [ { "ir_key": "method.nond.gen_reliability_levels", "ir_value_type": "RealVectorArray", "storage_type": "RESPONSE_LEVELS_ARRAY" } ] }, "distribution": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsDistributionCumulative" }, { "$ref": "#/$defs/ExpansionOptionsDistributionComplementary" } ], "description": "Selection of cumulative or complementary cumulative functions", "title": "Distribution", "x-model-default": "ExpansionOptionsDistributionCumulative", "x-union-pattern": 1 }, "variance_based_decomp": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsVarianceBasedDecomp" }, { "type": "null" } ], "default": null, "description": "Activates global sensitivity analysis based on decomposition of response variance into main, interaction, and total effects", "x-materialization": [ { "ir_key": "method.variance_based_decomp", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "import_approx_points_file": { "anyOf": [ { "$ref": "#/$defs/ImportApproxPointsFile" }, { "type": "null" } ], "argument": "filename", "default": null, "description": "Filename for points at which to evaluate the PCE/SC surrogate" }, "export_approx_points_file": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsExportApproxPointsFile" }, { "type": "null" } ], "argument": "filename", "default": null, "description": "Output file for surrogate model value evaluations", "x-aliases": [ "export_points_file" ] }, "covariance_type": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsDiagCov" }, { "$ref": "#/$defs/ExpansionOptionsFullCov" }, { "type": "null" } ], "default": null, "description": "Covariance Type", "title": "Covariance Type", "x-union-pattern": 2 }, "use_derivatives": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Use derivative data to construct surrogate models", "title": "Use Derivatives", "x-materialization": [ { "ir_key": "method.derivative_usage", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "basis_family": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/ScOptionsPiecewise" }, { "$ref": "#/$defs/ScOptionsAskey" }, { "$ref": "#/$defs/ScOptionsWiener" }, { "type": "null" } ], "default": null, "description": "Basis Polynomial Family", "title": "Basis Family", "x-union-pattern": 2 }, "discrepancy_emulation": { "anyOf": [ { "$ref": "#/$defs/DiscrepEmulationDiscrepancyEmulationDistinct" }, { "$ref": "#/$defs/DiscrepEmulationDiscrepancyEmulationRecursive" }, { "type": "null" } ], "default": null, "description": "Formulation for emulation of model discrepancies.", "title": "Discrepancy Emulation", "x-union-pattern": 2 }, "allocation_control": { "anyOf": [ { "$ref": "#/$defs/MfAllocControlContext1AllocationControlGreedy" }, { "type": "null" } ], "default": null, "description": "Sample allocation approach for multifidelity expansions", "x-union-pattern": 2 }, "refinement_metric": { "anyOf": [ { "$ref": "#/$defs/LevelMappings" }, { "$ref": "#/$defs/RefinementMetricCov" }, { "type": "null" } ], "default": null, "description": "Metric used for guiding adaptive refinement during UQ.", "title": "Refinement Metric", "x-union-pattern": 2 }, "statistics_mode": { "anyOf": [ { "$ref": "#/$defs/Active" }, { "$ref": "#/$defs/StatisticsModeCombined" }, { "type": "null" } ], "default": null, "description": "type of statistical metric roll-up for multifidelity UQ methods", "title": "Statistics Mode", "x-union-pattern": 2 }, "convergence_tolerance": { "anyOf": [ { "$ref": "#/$defs/MethodConvergenceTolWithTypeContext2ConvergenceTol" }, { "type": "null" } ], "argument": "value", "default": null, "description": "Stopping criterion based on objective function or statistics convergence" }, "max_refinement_iterations": { "default": 9223372036854775807, "description": "Maximum number of expansion refinement iterations", "minimum": 0, "title": "Max Refinement Iterations", "type": "integer", "x-materialization": [ { "ir_key": "method.nond.max_refinement_iterations", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "refinement_method": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/ScRefinementPRefinement" }, { "$ref": "#/$defs/ScRefinementHRefinement" }, { "type": "null" } ], "default": null, "description": "Automated Refinement Type", "title": "Refinement Method", "x-union-pattern": 2 }, "id_method": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Name the method block; helpful when there are multiple", "title": "Id Method", "x-materialization": [ { "ir_key": "method.id", "ir_value_type": "String", "storage_type": "DIRECT_VALUE" } ] }, "output": { "anyOf": [ { "$ref": "#/$defs/Debug" }, { "$ref": "#/$defs/Verbose" }, { "$ref": "#/$defs/Normal" }, { "$ref": "#/$defs/Quiet" }, { "$ref": "#/$defs/Silent" } ], "description": "Control how much method information is written to the screen and output file", "title": "Output", "x-model-default": "Normal", "x-union-pattern": 1 }, "final_solutions": { "default": 0, "description": "Number of designs returned as the best solutions", "minimum": 0, "title": "Final Solutions", "type": "integer", "x-materialization": [ { "ir_key": "method.final_solutions", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "grid_type": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MultifidelityStochCollocQuadratureOrderSequence" }, { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequence" } ], "description": "Interpolation Grid Type", "title": "Grid Type", "x-union-pattern": 4 } }, "$defs": { "Active": { "additionalProperties": false, "description": "use statistics for the active expansion within multifidelity refinement", "properties": { "active": { "const": true, "default": true, "description": "use statistics for the active expansion within multifidelity refinement", "title": "Active", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.refinement_statistics_mode", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "ACTIVE_EXPANSION_STATS" } ] } }, "title": "Active", "type": "object" }, "Debug": { "additionalProperties": false, "description": "Level 5 of 5 - maximum", "properties": { "debug": { "const": true, "default": true, "description": "Level 5 of 5 - maximum", "title": "Debug", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DEBUG_OUTPUT" } ] } }, "title": "Debug", "type": "object" }, "DiscrepEmulationDiscrepancyEmulationDistinct": { "additionalProperties": false, "description": "Distinct formulation for emulation of model discrepancies.", "properties": { "distinct": { "const": true, "default": true, "description": "Distinct formulation for emulation of model discrepancies.", "title": "Distinct", "type": "boolean", "x-aliases": [ "paired" ], "x-materialization": [ { "ir_key": "method.nond.multilevel_discrepancy_emulation", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DISTINCT_EMULATION" } ] } }, "title": "DiscrepEmulationDiscrepancyEmulationDistinct", "type": "object" }, "DiscrepEmulationDiscrepancyEmulationRecursive": { "additionalProperties": false, "description": "Recursive formulation for emulation of model discrepancies.", "properties": { "recursive": { "const": true, "default": true, "description": "Recursive formulation for emulation of model discrepancies.", "title": "Recursive", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.multilevel_discrepancy_emulation", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "RECURSIVE_EMULATION" } ] } }, "title": "DiscrepEmulationDiscrepancyEmulationRecursive", "type": "object" }, "ExpansionOptionsDiagCov": { "additionalProperties": false, "description": "Display only the diagonal terms of the covariance matrix", "properties": { "diagonal_covariance": { "const": true, "default": true, "description": "Display only the diagonal terms of the covariance matrix", "title": "Diagonal Covariance", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.covariance_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DIAGONAL_COVARIANCE" } ] } }, "title": "ExpansionOptionsDiagCov", "type": "object" }, "ExpansionOptionsDistributionComplementary": { "additionalProperties": false, "description": "Computes statistics according to complementary cumulative functions", "properties": { "complementary": { "const": true, "default": true, "description": "Computes statistics according to complementary cumulative functions", "title": "Complementary", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.distribution", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "COMPLEMENTARY" } ] } }, "title": "ExpansionOptionsDistributionComplementary", "type": "object" }, "ExpansionOptionsDistributionCumulative": { "additionalProperties": false, "description": "Computes statistics according to cumulative functions", "properties": { "cumulative": { "const": true, "default": true, "description": "Computes statistics according to cumulative functions", "title": "Cumulative", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.distribution", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "CUMULATIVE" } ] } }, "title": "ExpansionOptionsDistributionCumulative", "type": "object" }, "ExpansionOptionsExportApproxPointsFile": { "additionalProperties": false, "description": "Output file for surrogate model value evaluations", "properties": { "filename": { "description": "Output file for surrogate model value evaluations", "title": "Filename", "type": "string", "x-materialization": [ { "ir_key": "method.export_approx_points_file", "ir_value_type": "String", "storage_type": "DIRECT_VALUE" } ] }, "format": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsExportApproxPointsFileCustomAnnotated" }, { "$ref": "#/$defs/ExpansionOptionsExportApproxPointsFileAnnotated" }, { "$ref": "#/$defs/ExpansionOptionsExportApproxPointsFileFreeform" } ], "description": "Tabular Format", "title": "Format", "x-model-default": "ExpansionOptionsExportApproxPointsFileAnnotated", "x-union-pattern": 1 } }, "required": [ "filename" ], "title": "ExpansionOptionsExportApproxPointsFile", "type": "object" }, "ExpansionOptionsExportApproxPointsFileAnnotated": { "additionalProperties": false, "description": "Selects annotated tabular file format", "properties": { "annotated": { "const": true, "default": true, "description": "Selects annotated tabular file format", "title": "Annotated", "type": "boolean", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_ANNOTATED" } ] } }, "title": "ExpansionOptionsExportApproxPointsFileAnnotated", "type": "object" }, "ExpansionOptionsExportApproxPointsFileCustomAnnotated": { "additionalProperties": false, "description": "Selects custom-annotated tabular file format", "properties": { "custom_annotated": { "$ref": "#/$defs/ExpansionOptionsExportApproxPointsFileCustomAnnotatedConfig", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_NONE" } ], "x-model-default": "ExpansionOptionsExportApproxPointsFileCustomAnnotatedConfig" } }, "title": "ExpansionOptionsExportApproxPointsFileCustomAnnotated", "type": "object" }, "ExpansionOptionsExportApproxPointsFileCustomAnnotatedConfig": { "additionalProperties": false, "description": "Selects custom-annotated tabular file format", "properties": { "header": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Enable header row in custom-annotated tabular file", "title": "Header", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "AUGMENT_ENUM", "stored_value": "TABULAR_HEADER" } ] }, "eval_id": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Enable evaluation ID column in custom-annotated tabular file", "title": "Eval Id", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "AUGMENT_ENUM", "stored_value": "TABULAR_EVAL_ID" } ] }, "interface_id": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Enable interface ID column in custom-annotated tabular file", "title": "Interface Id", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "AUGMENT_ENUM", "stored_value": "TABULAR_IFACE_ID" } ] } }, "title": "ExpansionOptionsExportApproxPointsFileCustomAnnotatedConfig", "type": "object" }, "ExpansionOptionsExportApproxPointsFileFreeform": { "additionalProperties": false, "description": "Selects freeform file format", "properties": { "freeform": { "const": true, "default": true, "description": "Selects freeform file format", "title": "Freeform", "type": "boolean", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_NONE" } ] } }, "title": "ExpansionOptionsExportApproxPointsFileFreeform", "type": "object" }, "ExpansionOptionsFinalMomentsCentral": { "additionalProperties": false, "description": "Output central moments and include them within the set of final statistics.", "properties": { "central": { "const": true, "default": true, "description": "Output central moments and include them within the set of final statistics.", "title": "Central", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.final_moments", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "CENTRAL_MOMENTS" } ] } }, "title": "ExpansionOptionsFinalMomentsCentral", "type": "object" }, "ExpansionOptionsFinalMomentsNoneKeyword": { "additionalProperties": false, "description": "Omit moments from the set of final statistics.", "properties": { "none": { "const": true, "default": true, "description": "Omit moments from the set of final statistics.", "title": "None", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.final_moments", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NO_MOMENTS" } ] } }, "title": "ExpansionOptionsFinalMomentsNoneKeyword", "type": "object" }, "ExpansionOptionsFinalMomentsStandard": { "additionalProperties": false, "description": "Output standardized moments and include them within the set of final statistics.", "properties": { "standard": { "const": true, "default": true, "description": "Output standardized moments and include them within the set of final statistics.", "title": "Standard", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.final_moments", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "STANDARD_MOMENTS" } ] } }, "title": "ExpansionOptionsFinalMomentsStandard", "type": "object" }, "ExpansionOptionsFullCov": { "additionalProperties": false, "description": "Display the full covariance matrix", "properties": { "full_covariance": { "const": true, "default": true, "description": "Display the full covariance matrix", "title": "Full Covariance", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.covariance_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "FULL_COVARIANCE" } ] } }, "title": "ExpansionOptionsFullCov", "type": "object" }, "ExpansionOptionsGenReliabilityLevels": { "additionalProperties": false, "description": "Specify generalized relability levels at which to estimate the corresponding response value", "properties": { "values": { "description": "Specify generalized relability levels at which to estimate the corresponding response value", "items": { "type": "number" }, "title": "Values", "type": "array" }, "num_gen_reliability_levels": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Specify which ``gen_reliability_levels`` correspond to which response", "title": "Num Gen Reliability Levels" } }, "required": [ "values" ], "title": "ExpansionOptionsGenReliabilityLevels", "type": "object", "x-model-validations": [ { "validationContext": "expansionoptionsgenreliabilitylevels", "validationErrorMessage": "For expansionoptionsgenreliabilitylevels, sum of num_gen_reliability_levels must equal length of values.", "validationFields": [ "num_gen_reliability_levels", "values" ], "validationLiterals": [], "validationRuleName": "check_sum_equals_length" } ] }, "ExpansionOptionsProbabilityLevels": { "additionalProperties": false, "description": "Specify probability levels at which to estimate the corresponding response value", "properties": { "values": { "description": "Specify probability levels at which to estimate the corresponding response value", "items": { "type": "number" }, "title": "Values", "type": "array" }, "num_probability_levels": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Specify which ``probability_levels`` correspond to which response", "title": "Num Probability Levels" } }, "required": [ "values" ], "title": "ExpansionOptionsProbabilityLevels", "type": "object", "x-model-validations": [ { "validationContext": "expansionoptionsprobabilitylevels", "validationErrorMessage": "For expansionoptionsprobabilitylevels, all elements of values must be in [0, 1].", "validationFields": [ "values" ], "validationLiterals": [], "validationRuleName": "check_probability_list" }, { "validationContext": "expansionoptionsprobabilitylevels", "validationErrorMessage": "For expansionoptionsprobabilitylevels, sum of num_probability_levels must equal length of values.", "validationFields": [ "num_probability_levels", "values" ], "validationLiterals": [], "validationRuleName": "check_sum_equals_length" } ] }, "ExpansionOptionsProbabilityRefinement": { "additionalProperties": false, "description": "Allow refinement of probability and generalized reliability results using importance sampling", "properties": { "importance_sampling_approach": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsProbabilityRefinementImportance" }, { "$ref": "#/$defs/ExpansionOptionsProbabilityRefinementAdaptImport" }, { "$ref": "#/$defs/ExpansionOptionsProbabilityRefinementMmAdaptImport" } ], "description": "Importance Sampling Approach", "title": "Importance Sampling Approach", "x-union-pattern": 4 }, "refinement_samples": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Number of samples used to refine a probability estimate or sampling design.", "title": "Refinement Samples", "x-materialization": [ { "ir_key": "method.nond.refinement_samples", "ir_value_type": "IntVector", "storage_type": "DIRECT_VALUE" } ] } }, "required": [ "importance_sampling_approach" ], "title": "ExpansionOptionsProbabilityRefinement", "type": "object" }, "ExpansionOptionsProbabilityRefinementAdaptImport": { "additionalProperties": false, "description": "Importance sampling option for probability refinement", "properties": { "adapt_import": { "const": true, "default": true, "description": "Importance sampling option for probability refinement", "title": "Adapt Import", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.integration_refinement", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "AIS" } ] } }, "title": "ExpansionOptionsProbabilityRefinementAdaptImport", "type": "object" }, "ExpansionOptionsProbabilityRefinementImportance": { "additionalProperties": false, "description": "Importance sampling option for probability refinement", "properties": { "importance": { "const": true, "default": true, "description": "Importance sampling option for probability refinement", "title": "Importance", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.integration_refinement", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "IS" } ] } }, "title": "ExpansionOptionsProbabilityRefinementImportance", "type": "object" }, "ExpansionOptionsProbabilityRefinementMmAdaptImport": { "additionalProperties": false, "description": "Importance sampling option for probability refinement", "properties": { "mm_adapt_import": { "const": true, "default": true, "description": "Importance sampling option for probability refinement", "title": "Mm Adapt Import", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.integration_refinement", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "MMAIS" } ] } }, "title": "ExpansionOptionsProbabilityRefinementMmAdaptImport", "type": "object" }, "ExpansionOptionsReliabilityLevels": { "additionalProperties": false, "description": "Specify reliability levels at which the response values will be estimated", "properties": { "values": { "description": "Specify reliability levels at which the response values will be estimated", "items": { "type": "number" }, "title": "Values", "type": "array" }, "num_reliability_levels": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Specify which ``reliability_levels`` correspond to which response", "title": "Num Reliability Levels" } }, "required": [ "values" ], "title": "ExpansionOptionsReliabilityLevels", "type": "object", "x-model-validations": [ { "validationContext": "expansionoptionsreliabilitylevels", "validationErrorMessage": "For expansionoptionsreliabilitylevels, sum of num_reliability_levels must equal length of values.", "validationFields": [ "num_reliability_levels", "values" ], "validationLiterals": [], "validationRuleName": "check_sum_equals_length" } ] }, "ExpansionOptionsResponseLevels": { "additionalProperties": false, "description": "Values at which to estimate desired statistics for each response", "properties": { "values": { "description": "Values at which to estimate desired statistics for each response", "items": { "type": "number" }, "title": "Values", "type": "array" }, "num_response_levels": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Number of values at which to estimate desired statistics for each response", "title": "Num Response Levels" }, "compute": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsResponseLevelsCompute" }, { "type": "null" } ], "default": null, "description": "Selection of statistics to compute at each response level" } }, "required": [ "values" ], "title": "ExpansionOptionsResponseLevels", "type": "object", "x-model-validations": [ { "validationContext": "expansionoptionsresponselevels", "validationErrorMessage": "For expansionoptionsresponselevels, sum of num_response_levels must equal length of values.", "validationFields": [ "num_response_levels", "values" ], "validationLiterals": [], "validationRuleName": "check_sum_equals_length" } ] }, "ExpansionOptionsResponseLevelsCompute": { "additionalProperties": false, "description": "Selection of statistics to compute at each response level", "properties": { "statistic": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeProbabilities" }, { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeReliabilities" }, { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeGenReliabilities" } ], "description": "Statistics to Compute", "title": "Statistic", "x-union-pattern": 4 }, "system": { "anyOf": [ { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeSystemSeries" }, { "$ref": "#/$defs/ExpansionOptionsResponseLevelsComputeSystemParallel" }, { "type": "null" } ], "default": null, "description": "Compute system reliability (series or parallel)", "title": "System", "x-union-pattern": 2 } }, "required": [ "statistic" ], "title": "ExpansionOptionsResponseLevelsCompute", "type": "object" }, "ExpansionOptionsResponseLevelsComputeGenReliabilities": { "additionalProperties": false, "description": "Computes generalized reliabilities associated with response levels", "properties": { "gen_reliabilities": { "const": true, "default": true, "description": "Computes generalized reliabilities associated with response levels", "title": "Gen Reliabilities", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "GEN_RELIABILITIES" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeGenReliabilities", "type": "object" }, "ExpansionOptionsResponseLevelsComputeProbabilities": { "additionalProperties": false, "description": "Computes probabilities associated with response levels", "properties": { "probabilities": { "const": true, "default": true, "description": "Computes probabilities associated with response levels", "title": "Probabilities", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "PROBABILITIES" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeProbabilities", "type": "object" }, "ExpansionOptionsResponseLevelsComputeReliabilities": { "additionalProperties": false, "description": "Computes reliabilities associated with response levels", "properties": { "reliabilities": { "const": true, "default": true, "description": "Computes reliabilities associated with response levels", "title": "Reliabilities", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "RELIABILITIES" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeReliabilities", "type": "object" }, "ExpansionOptionsResponseLevelsComputeSystemParallel": { "additionalProperties": false, "description": "Aggregate response statistics assuming a parallel system", "properties": { "parallel": { "const": true, "default": true, "description": "Aggregate response statistics assuming a parallel system", "title": "Parallel", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target_reduce", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "SYSTEM_PARALLEL" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeSystemParallel", "type": "object" }, "ExpansionOptionsResponseLevelsComputeSystemSeries": { "additionalProperties": false, "description": "Aggregate response statistics assuming a series system", "properties": { "series": { "const": true, "default": true, "description": "Aggregate response statistics assuming a series system", "title": "Series", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.response_level_target_reduce", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "SYSTEM_SERIES" } ] } }, "title": "ExpansionOptionsResponseLevelsComputeSystemSeries", "type": "object" }, "ExpansionOptionsRngMt19937": { "additionalProperties": false, "description": "Generates random numbers using the Mersenne twister", "properties": { "mt19937": { "const": true, "default": true, "description": "Generates random numbers using the Mersenne twister", "title": "Mt19937", "type": "boolean", "x-materialization": [ { "ir_key": "method.random_number_generator", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "mt19937" } ] } }, "title": "ExpansionOptionsRngMt19937", "type": "object" }, "ExpansionOptionsRngRnum2": { "additionalProperties": false, "description": "Generates pseudo-random numbers using the Pecos package", "properties": { "rnum2": { "const": true, "default": true, "description": "Generates pseudo-random numbers using the Pecos package", "title": "Rnum2", "type": "boolean", "x-materialization": [ { "ir_key": "method.random_number_generator", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "rnum2" } ] } }, "title": "ExpansionOptionsRngRnum2", "type": "object" }, "ExpansionOptionsSampleTypeLhs": { "additionalProperties": false, "description": "Uses Latin Hypercube Sampling (LHS) to sample variables", "properties": { "lhs": { "const": true, "default": true, "description": "Uses Latin Hypercube Sampling (LHS) to sample variables", "title": "Lhs", "type": "boolean", "x-materialization": [ { "ir_key": "method.sample_type", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "SUBMETHOD_LHS" } ] } }, "title": "ExpansionOptionsSampleTypeLhs", "type": "object" }, "ExpansionOptionsSampleTypeRandom": { "additionalProperties": false, "description": "Uses purely random Monte Carlo sampling to sample variables", "properties": { "random": { "const": true, "default": true, "description": "Uses purely random Monte Carlo sampling to sample variables", "title": "Random", "type": "boolean", "x-materialization": [ { "ir_key": "method.sample_type", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "SUBMETHOD_RANDOM" } ] } }, "title": "ExpansionOptionsSampleTypeRandom", "type": "object" }, "ExpansionOptionsVarianceBasedDecomp": { "additionalProperties": false, "description": "Activates global sensitivity analysis based on decomposition of response variance into main, interaction, and total effects", "properties": { "interaction_order": { "anyOf": [ { "exclusiveMinimum": 0, "type": "integer" }, { "type": "null" } ], "default": null, "description": "Specify the maximum number of variables allowed in an interaction when reporting interaction metrics.", "title": "Interaction Order", "x-materialization": [ { "ir_key": "method.nond.vbd_interaction_order", "ir_value_type": "unsigned short", "storage_type": "DIRECT_VALUE" } ] }, "drop_tolerance": { "default": -1.0, "description": "Suppresses output of sensitivity indices with values lower than this tolerance", "title": "Drop Tolerance", "type": "number", "x-materialization": [ { "ir_key": "method.vbd_drop_tolerance", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] } }, "title": "ExpansionOptionsVarianceBasedDecomp", "type": "object" }, "HRefinementDimAdaptiveGeneralized": { "additionalProperties": false, "description": "Use the generalized sparse grid dimension adaptive algorithm to refine a sparse grid approximation of stochastic expansion.", "properties": { "generalized": { "const": true, "default": true, "description": "Use the generalized sparse grid dimension adaptive algorithm to refine a sparse grid approximation of stochastic expansion.", "title": "Generalized", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DIMENSION_ADAPTIVE_CONTROL_GENERALIZED" } ] } }, "title": "HRefinementDimAdaptiveGeneralized", "type": "object" }, "HRefinementDimAdaptiveSobol": { "additionalProperties": false, "description": "Estimate dimension preference for automated refinement of stochastic expansion using total Sobol' sensitivity indices.", "properties": { "sobol": { "const": true, "default": true, "description": "Estimate dimension preference for automated refinement of stochastic expansion using total Sobol' sensitivity indices.", "title": "Sobol", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DIMENSION_ADAPTIVE_CONTROL_SOBOL" } ] } }, "title": "HRefinementDimAdaptiveSobol", "type": "object" }, "HRefinementUniform": { "additionalProperties": false, "description": "Refine an expansion uniformly in all dimensions.", "properties": { "uniform": { "const": true, "default": true, "description": "Refine an expansion uniformly in all dimensions.", "title": "Uniform", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_refinement_control", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", 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"Silent", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "SILENT_OUTPUT" } ] } }, "title": "Silent", "type": "object" }, "StatisticsModeCombined": { "additionalProperties": false, "description": "use statistics for the combined expansion within multifidelity refinement", "properties": { "combined": { "const": true, "default": true, "description": "use statistics for the combined expansion within multifidelity refinement", "title": "Combined", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.refinement_statistics_mode", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "COMBINED_EXPANSION_STATS" } ] } }, "title": "StatisticsModeCombined", "type": "object" }, "Verbose": { "additionalProperties": false, "description": "Level 4 of 5 - more than normal", "properties": { "verbose": { "const": true, "default": true, "description": "Level 4 of 5 - more than normal", "title": "Verbose", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "VERBOSE_OUTPUT" } ] } }, "title": "Verbose", "type": "object" } }, "additionalProperties": false, "required": [ "grid_type" ], "x-model-validations": [ { "validationContext": "methodseedsequencemixin", "validationErrorMessage": "For methodseedsequencemixin, all elements of seed_sequence must be >= 0.", "validationFields": [ "seed_sequence" ], "validationLiterals": [], "validationRuleName": "check_nonnegative_list" } ] }
- Fields:
allocation_control (dakota.spec.shared.misc.MfAllocControlContext1AllocationControlGreedy | None)import_approx_points_file (dakota.spec.shared.expansion.options.ImportApproxPointsFile | None)probability_levels (dakota.spec.shared.expansion.options.ExpansionOptionsProbabilityLevels | None)reliability_levels (dakota.spec.shared.expansion.options.ExpansionOptionsReliabilityLevels | None)response_levels (dakota.spec.shared.expansion.options.ExpansionOptionsResponseLevels | None)
- field allocation_control: MfAllocControlContext1AllocationControlGreedy | None = None
Sample allocation approach for multifidelity expansions
- field basis_family: ScOptionsPiecewise | ScOptionsAskey | ScOptionsWiener | None = None
Basis Polynomial Family
- field convergence_tolerance: MethodConvergenceTolWithTypeContext2ConvergenceTol | None = None
Stopping criterion based on objective function or statistics convergence
- field covariance_type: ExpansionOptionsDiagCov | ExpansionOptionsFullCov | None = None
Covariance Type
- field discrepancy_emulation: DiscrepEmulationDiscrepancyEmulationDistinct | DiscrepEmulationDiscrepancyEmulationRecursive | None = None
Formulation for emulation of model discrepancies.
- field distribution: ExpansionOptionsDistributionCumulative | ExpansionOptionsDistributionComplementary [Optional]
Selection of cumulative or complementary cumulative functions
- field export_approx_points_file: ExpansionOptionsExportApproxPointsFile | None = None
Output file for surrogate model value evaluations
- field final_moments: ExpansionOptionsFinalMomentsNoneKeyword | ExpansionOptionsFinalMomentsStandard | ExpansionOptionsFinalMomentsCentral [Optional]
Output moments of the specified type and include them within the set of final statistics.
- field final_solutions: int = 0
Number of designs returned as the best solutions
- Constraints:
ge = 0
- field fixed_seed: Literal[True] | None = None
Reuses the same seed value for multiple random sampling sets
- field gen_reliability_levels: ExpansionOptionsGenReliabilityLevels | None = None
Specify generalized relability levels at which to estimate the corresponding response value
- field grid_type: MultifidelityStochCollocQuadratureOrderSequence | MultifidelityStochCollocSGLevelSequence [Required]
Interpolation Grid Type
- field id_method: str | None = None
Name the method block; helpful when there are multiple
- field import_approx_points_file: ImportApproxPointsFile | None = None
Filename for points at which to evaluate the PCE/SC surrogate
- field max_refinement_iterations: int = 9223372036854775807
Maximum number of expansion refinement iterations
- Constraints:
ge = 0
- field model_pointer: str | None = None
Identifier for model block to be used by a method
- field output: Debug | Verbose | Normal | Quiet | Silent [Optional]
Control how much method information is written to the screen and output file
- field probability_levels: ExpansionOptionsProbabilityLevels | None = None
Specify probability levels at which to estimate the corresponding response value
- field probability_refinement: ExpansionOptionsProbabilityRefinement | None = None
Allow refinement of probability and generalized reliability results using importance sampling
- field refinement_method: ScRefinementPRefinement | ScRefinementHRefinement | None = None
Automated Refinement Type
- field refinement_metric: LevelMappings | RefinementMetricCov | None = None
Metric used for guiding adaptive refinement during UQ.
- field reliability_levels: ExpansionOptionsReliabilityLevels | None = None
Specify reliability levels at which the response values will be estimated
- field response_levels: ExpansionOptionsResponseLevels | None = None
Values at which to estimate desired statistics for each response
- field rng: ExpansionOptionsRngMt19937 | ExpansionOptionsRngRnum2 [Optional]
Selection of a random number generator
- field sample_type: ExpansionOptionsSampleTypeLhs | ExpansionOptionsSampleTypeRandom | None = None
Selection of sampling strategy
- field samples_on_emulator: int = 0
Number of samples at which to evaluate an emulator (surrogate)
- field seed_sequence: list[int] | None = None
Sequence of seed values for multi-stage random sampling
- field statistics_mode: Active | StatisticsModeCombined | None = None
type of statistical metric roll-up for multifidelity UQ methods
- field use_derivatives: Literal[True] | None = None
Use derivative data to construct surrogate models
- field variance_based_decomp: ExpansionOptionsVarianceBasedDecomp | None = None
Activates global sensitivity analysis based on decomposition of response variance into main, interaction, and total effects
Generated Pydantic models for method.multifidelity_stoch_collocation
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocQuadratureOrderSequence
Sequence of quadrature orders used in a multi-stage expansion
Show JSON schema
{ "title": "MultifidelityStochCollocQuadratureOrderSequence", "description": "Sequence of quadrature orders used in a multi-stage expansion", "type": "object", "properties": { "quadrature_order_sequence": { "$ref": "#/$defs/MultifidelityStochCollocQuadratureOrderSequenceConfig", "argument": "sequence" } }, "$defs": { "MultifidelityStochCollocQuadratureOrderSequenceConfig": { "additionalProperties": false, "description": "Sequence of quadrature orders used in a multi-stage expansion", "properties": { "sequence": { "description": "Sequence of quadrature orders used in a multi-stage expansion", "items": { "type": "integer" }, "title": "Sequence", "type": "array", "x-materialization": [ { "ir_key": "method.nond.quadrature_order_sequence", "ir_value_type": "UShortArray", "storage_type": "DIRECT_VALUE" } ] }, "dimension_preference": { "anyOf": [ { "items": { "type": "number" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "A set of weights specifying the realtive importance of each uncertain variable (dimension)", "title": "Dimension Preference", "x-materialization": [ { "ir_key": "method.nond.dimension_preference", "ir_value_type": "RealVector", "storage_type": "DIRECT_VALUE" } ] }, "nesting_rule": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MultifidelityStochCollocQuadratureOrderSequenceNested" }, { "$ref": "#/$defs/MultifidelityStochCollocQuadratureOrderSequenceNonNested" }, { "type": "null" } ], "default": null, "description": "Quadrature Rule Nesting", "title": "Nesting Rule", "x-union-pattern": 2 } }, "required": [ "sequence" ], "title": "MultifidelityStochCollocQuadratureOrderSequenceConfig", "type": "object", "x-model-validations": [ { "validationContext": "multifidelitystochcollocquadratureordersequenceconfig", "validationErrorMessage": "For multifidelitystochcollocquadratureordersequenceconfig, all elements of sequence must be >= 0.", "validationFields": [ "sequence" ], "validationLiterals": [], "validationRuleName": "check_nonnegative_list" } ] }, "MultifidelityStochCollocQuadratureOrderSequenceNested": { "additionalProperties": false, "description": "Enforce use of nested quadrature rules if available", "properties": { "nested": { "const": true, "default": true, "description": "Enforce use of nested quadrature rules if available", "title": "Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NESTED" } ] } }, "title": "MultifidelityStochCollocQuadratureOrderSequenceNested", "type": "object" }, "MultifidelityStochCollocQuadratureOrderSequenceNonNested": { "additionalProperties": false, "description": "Enforce use of non-nested quadrature rules", "properties": { "non_nested": { "const": true, "default": true, "description": "Enforce use of non-nested quadrature rules", "title": "Non Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NON_NESTED" } ] } }, "title": "MultifidelityStochCollocQuadratureOrderSequenceNonNested", "type": "object" } }, "additionalProperties": false, "required": [ "quadrature_order_sequence" ] }
- field quadrature_order_sequence: MultifidelityStochCollocQuadratureOrderSequenceConfig [Required]
Sequence of quadrature orders used in a multi-stage expansion
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocQuadratureOrderSequenceConfig
Sequence of quadrature orders used in a multi-stage expansion
Show JSON schema
{ "title": "MultifidelityStochCollocQuadratureOrderSequenceConfig", "description": "Sequence of quadrature orders used in a multi-stage expansion", "type": "object", "properties": { "sequence": { "description": "Sequence of quadrature orders used in a multi-stage expansion", "items": { "type": "integer" }, "title": "Sequence", "type": "array", "x-materialization": [ { "ir_key": "method.nond.quadrature_order_sequence", "ir_value_type": "UShortArray", "storage_type": "DIRECT_VALUE" } ] }, "dimension_preference": { "anyOf": [ { "items": { "type": "number" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "A set of weights specifying the realtive importance of each uncertain variable (dimension)", "title": "Dimension Preference", "x-materialization": [ { "ir_key": "method.nond.dimension_preference", "ir_value_type": "RealVector", "storage_type": "DIRECT_VALUE" } ] }, "nesting_rule": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MultifidelityStochCollocQuadratureOrderSequenceNested" }, { "$ref": "#/$defs/MultifidelityStochCollocQuadratureOrderSequenceNonNested" }, { "type": "null" } ], "default": null, "description": "Quadrature Rule Nesting", "title": "Nesting Rule", "x-union-pattern": 2 } }, "$defs": { "MultifidelityStochCollocQuadratureOrderSequenceNested": { "additionalProperties": false, "description": "Enforce use of nested quadrature rules if available", "properties": { "nested": { "const": true, "default": true, "description": "Enforce use of nested quadrature rules if available", "title": "Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NESTED" } ] } }, "title": "MultifidelityStochCollocQuadratureOrderSequenceNested", "type": "object" }, "MultifidelityStochCollocQuadratureOrderSequenceNonNested": { "additionalProperties": false, "description": "Enforce use of non-nested quadrature rules", "properties": { "non_nested": { "const": true, "default": true, "description": "Enforce use of non-nested quadrature rules", "title": "Non Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NON_NESTED" } ] } }, "title": "MultifidelityStochCollocQuadratureOrderSequenceNonNested", "type": "object" } }, "additionalProperties": false, "required": [ "sequence" ], "x-model-validations": [ { "validationContext": "multifidelitystochcollocquadratureordersequenceconfig", "validationErrorMessage": "For multifidelitystochcollocquadratureordersequenceconfig, all elements of sequence must be >= 0.", "validationFields": [ "sequence" ], "validationLiterals": [], "validationRuleName": "check_nonnegative_list" } ] }
- Fields:
- field dimension_preference: list[DakotaFloat] | None = None
A set of weights specifying the realtive importance of each uncertain variable (dimension)
- field nesting_rule: MultifidelityStochCollocQuadratureOrderSequenceNested | MultifidelityStochCollocQuadratureOrderSequenceNonNested | None = None
Quadrature Rule Nesting
- field sequence: list[int] [Required]
Sequence of quadrature orders used in a multi-stage expansion
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocQuadratureOrderSequenceNested
Enforce use of nested quadrature rules if available
Show JSON schema
{ "title": "MultifidelityStochCollocQuadratureOrderSequenceNested", "description": "Enforce use of nested quadrature rules if available", "type": "object", "properties": { "nested": { "const": true, "default": true, "description": "Enforce use of nested quadrature rules if available", "title": "Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NESTED" } ] } }, "additionalProperties": false }
- Fields:
- field nested: Literal[True] = True
Enforce use of nested quadrature rules if available
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocQuadratureOrderSequenceNonNested
Enforce use of non-nested quadrature rules
Show JSON schema
{ "title": "MultifidelityStochCollocQuadratureOrderSequenceNonNested", "description": "Enforce use of non-nested quadrature rules", "type": "object", "properties": { "non_nested": { "const": true, "default": true, "description": "Enforce use of non-nested quadrature rules", "title": "Non Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NON_NESTED" } ] } }, "additionalProperties": false }
- Fields:
- field non_nested: Literal[True] = True
Enforce use of non-nested quadrature rules
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocSGLevelSequence
Sequence of sparse grid levels used in a multi-stage expansion
Show JSON schema
{ "title": "MultifidelityStochCollocSGLevelSequence", "description": "Sequence of sparse grid levels used in a multi-stage expansion", "type": "object", "properties": { "sparse_grid_level_sequence": { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceConfig", "argument": "sequence" } }, "$defs": { "MultifidelityStochCollocSGLevelSequenceConfig": { "additionalProperties": false, "description": "Sequence of sparse grid levels used in a multi-stage expansion", "properties": { "sequence": { "description": "Sequence of sparse grid levels used in a multi-stage expansion", "items": { "type": "integer" }, "title": "Sequence", "type": "array", "x-materialization": [ { "ir_key": "method.nond.sparse_grid_level_sequence", "ir_value_type": "UShortArray", "storage_type": "DIRECT_VALUE" } ] }, "dimension_preference": { "anyOf": [ { "items": { "type": "number" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "A set of weights specifying the realtive importance of each uncertain variable (dimension)", "title": "Dimension Preference", "x-materialization": [ { "ir_key": "method.nond.dimension_preference", "ir_value_type": "RealVector", "storage_type": "DIRECT_VALUE" } ] }, "interpolant": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceNodal" }, { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceHierarchical" }, { "type": "null" } ], "default": null, "title": "Interpolant", "x-union-pattern": 2 }, "growth_rule": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceRestricted" }, { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceUnrestricted" }, { "type": "null" } ], "default": null, "description": "Quadrature Rule Growth", "title": "Growth Rule", "x-union-pattern": 2 }, "nesting_rule": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceNested" }, { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceNonNested" }, { "type": "null" } ], "default": null, "description": "Quadrature Rule Nesting", "title": "Nesting Rule", "x-union-pattern": 2 } }, "required": [ "sequence" ], "title": "MultifidelityStochCollocSGLevelSequenceConfig", "type": "object", "x-model-validations": [ { "validationContext": "multifidelitystochcollocsglevelsequenceconfig", "validationErrorMessage": "For multifidelitystochcollocsglevelsequenceconfig, all elements of sequence must be >= 0.", "validationFields": [ "sequence" ], "validationLiterals": [], "validationRuleName": "check_nonnegative_list" } ] }, "MultifidelityStochCollocSGLevelSequenceHierarchical": { "additionalProperties": false, "description": "Employ a hierarchical sparse grid construction", "properties": { "hierarchical": { "const": true, "default": true, "description": "Employ a hierarchical sparse grid construction", "title": "Hierarchical", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_basis_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "HIERARCHICAL_INTERPOLANT" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceHierarchical", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceNested": { "additionalProperties": false, "description": "Enforce use of nested quadrature rules if available", "properties": { "nested": { "const": true, "default": true, "description": "Enforce use of nested quadrature rules if available", "title": "Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NESTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceNested", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceNodal": { "additionalProperties": false, "description": "Employ a nodal sparse grid construction in stochastic collocation", "properties": { "nodal": { "const": true, "default": true, "description": "Employ a nodal sparse grid construction in stochastic collocation", "title": "Nodal", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_basis_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NODAL_INTERPOLANT" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceNodal", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceNonNested": { "additionalProperties": false, "description": "Enforce use of non-nested quadrature rules", "properties": { "non_nested": { "const": true, "default": true, "description": "Enforce use of non-nested quadrature rules", "title": "Non Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NON_NESTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceNonNested", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceRestricted": { "additionalProperties": false, "description": "Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.", "properties": { "restricted": { "const": true, "default": true, "description": "Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.", "title": "Restricted", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.growth_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "RESTRICTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceRestricted", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceUnrestricted": { "additionalProperties": false, "description": "Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.", "properties": { "unrestricted": { "const": true, "default": true, "description": "Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.", "title": "Unrestricted", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.growth_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "UNRESTRICTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceUnrestricted", "type": "object" } }, "additionalProperties": false, "required": [ "sparse_grid_level_sequence" ] }
- field sparse_grid_level_sequence: MultifidelityStochCollocSGLevelSequenceConfig [Required]
Sequence of sparse grid levels used in a multi-stage expansion
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocSGLevelSequenceConfig
Sequence of sparse grid levels used in a multi-stage expansion
Show JSON schema
{ "title": "MultifidelityStochCollocSGLevelSequenceConfig", "description": "Sequence of sparse grid levels used in a multi-stage expansion", "type": "object", "properties": { "sequence": { "description": "Sequence of sparse grid levels used in a multi-stage expansion", "items": { "type": "integer" }, "title": "Sequence", "type": "array", "x-materialization": [ { "ir_key": "method.nond.sparse_grid_level_sequence", "ir_value_type": "UShortArray", "storage_type": "DIRECT_VALUE" } ] }, "dimension_preference": { "anyOf": [ { "items": { "type": "number" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "A set of weights specifying the realtive importance of each uncertain variable (dimension)", "title": "Dimension Preference", "x-materialization": [ { "ir_key": "method.nond.dimension_preference", "ir_value_type": "RealVector", "storage_type": "DIRECT_VALUE" } ] }, "interpolant": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceNodal" }, { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceHierarchical" }, { "type": "null" } ], "default": null, "title": "Interpolant", "x-union-pattern": 2 }, "growth_rule": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceRestricted" }, { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceUnrestricted" }, { "type": "null" } ], "default": null, "description": "Quadrature Rule Growth", "title": "Growth Rule", "x-union-pattern": 2 }, "nesting_rule": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceNested" }, { "$ref": "#/$defs/MultifidelityStochCollocSGLevelSequenceNonNested" }, { "type": "null" } ], "default": null, "description": "Quadrature Rule Nesting", "title": "Nesting Rule", "x-union-pattern": 2 } }, "$defs": { "MultifidelityStochCollocSGLevelSequenceHierarchical": { "additionalProperties": false, "description": "Employ a hierarchical sparse grid construction", "properties": { "hierarchical": { "const": true, "default": true, "description": "Employ a hierarchical sparse grid construction", "title": "Hierarchical", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_basis_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "HIERARCHICAL_INTERPOLANT" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceHierarchical", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceNested": { "additionalProperties": false, "description": "Enforce use of nested quadrature rules if available", "properties": { "nested": { "const": true, "default": true, "description": "Enforce use of nested quadrature rules if available", "title": "Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NESTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceNested", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceNodal": { "additionalProperties": false, "description": "Employ a nodal sparse grid construction in stochastic collocation", "properties": { "nodal": { "const": true, "default": true, "description": "Employ a nodal sparse grid construction in stochastic collocation", "title": "Nodal", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_basis_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NODAL_INTERPOLANT" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceNodal", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceNonNested": { "additionalProperties": false, "description": "Enforce use of non-nested quadrature rules", "properties": { "non_nested": { "const": true, "default": true, "description": "Enforce use of non-nested quadrature rules", "title": "Non Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NON_NESTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceNonNested", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceRestricted": { "additionalProperties": false, "description": "Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.", "properties": { "restricted": { "const": true, "default": true, "description": "Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.", "title": "Restricted", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.growth_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "RESTRICTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceRestricted", "type": "object" }, "MultifidelityStochCollocSGLevelSequenceUnrestricted": { "additionalProperties": false, "description": "Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.", "properties": { "unrestricted": { "const": true, "default": true, "description": "Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.", "title": "Unrestricted", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.growth_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "UNRESTRICTED" } ] } }, "title": "MultifidelityStochCollocSGLevelSequenceUnrestricted", "type": "object" } }, "additionalProperties": false, "required": [ "sequence" ], "x-model-validations": [ { "validationContext": "multifidelitystochcollocsglevelsequenceconfig", "validationErrorMessage": "For multifidelitystochcollocsglevelsequenceconfig, all elements of sequence must be >= 0.", "validationFields": [ "sequence" ], "validationLiterals": [], "validationRuleName": "check_nonnegative_list" } ] }
- Fields:
- field dimension_preference: list[DakotaFloat] | None = None
A set of weights specifying the realtive importance of each uncertain variable (dimension)
- field growth_rule: MultifidelityStochCollocSGLevelSequenceRestricted | MultifidelityStochCollocSGLevelSequenceUnrestricted | None = None
Quadrature Rule Growth
- field interpolant: MultifidelityStochCollocSGLevelSequenceNodal | MultifidelityStochCollocSGLevelSequenceHierarchical | None = None
- field nesting_rule: MultifidelityStochCollocSGLevelSequenceNested | MultifidelityStochCollocSGLevelSequenceNonNested | None = None
Quadrature Rule Nesting
- field sequence: list[int] [Required]
Sequence of sparse grid levels used in a multi-stage expansion
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocSGLevelSequenceHierarchical
Employ a hierarchical sparse grid construction
Show JSON schema
{ "title": "MultifidelityStochCollocSGLevelSequenceHierarchical", "description": "Employ a hierarchical sparse grid construction", "type": "object", "properties": { "hierarchical": { "const": true, "default": true, "description": "Employ a hierarchical sparse grid construction", "title": "Hierarchical", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_basis_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "HIERARCHICAL_INTERPOLANT" } ] } }, "additionalProperties": false }
- Fields:
- field hierarchical: Literal[True] = True
Employ a hierarchical sparse grid construction
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocSGLevelSequenceNested
Enforce use of nested quadrature rules if available
Show JSON schema
{ "title": "MultifidelityStochCollocSGLevelSequenceNested", "description": "Enforce use of nested quadrature rules if available", "type": "object", "properties": { "nested": { "const": true, "default": true, "description": "Enforce use of nested quadrature rules if available", "title": "Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NESTED" } ] } }, "additionalProperties": false }
- Fields:
- field nested: Literal[True] = True
Enforce use of nested quadrature rules if available
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocSGLevelSequenceNodal
Employ a nodal sparse grid construction in stochastic collocation
Show JSON schema
{ "title": "MultifidelityStochCollocSGLevelSequenceNodal", "description": "Employ a nodal sparse grid construction in stochastic collocation", "type": "object", "properties": { "nodal": { "const": true, "default": true, "description": "Employ a nodal sparse grid construction in stochastic collocation", "title": "Nodal", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.expansion_basis_type", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NODAL_INTERPOLANT" } ] } }, "additionalProperties": false }
- Fields:
- field nodal: Literal[True] = True
Employ a nodal sparse grid construction in stochastic collocation
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocSGLevelSequenceNonNested
Enforce use of non-nested quadrature rules
Show JSON schema
{ "title": "MultifidelityStochCollocSGLevelSequenceNonNested", "description": "Enforce use of non-nested quadrature rules", "type": "object", "properties": { "non_nested": { "const": true, "default": true, "description": "Enforce use of non-nested quadrature rules", "title": "Non Nested", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.nesting_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NON_NESTED" } ] } }, "additionalProperties": false }
- Fields:
- field non_nested: Literal[True] = True
Enforce use of non-nested quadrature rules
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocSGLevelSequenceRestricted
Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.
Show JSON schema
{ "title": "MultifidelityStochCollocSGLevelSequenceRestricted", "description": "Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.", "type": "object", "properties": { "restricted": { "const": true, "default": true, "description": "Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.", "title": "Restricted", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.growth_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "RESTRICTED" } ] } }, "additionalProperties": false }
- Fields:
- field restricted: Literal[True] = True
Restrict the growth rates for nested and non-nested rules can be synchronized for consistency.
- pydantic model dakota.spec.method.multifidelity_stoch_collocation.MultifidelityStochCollocSGLevelSequenceUnrestricted
Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.
Show JSON schema
{ "title": "MultifidelityStochCollocSGLevelSequenceUnrestricted", "description": "Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.", "type": "object", "properties": { "unrestricted": { "const": true, "default": true, "description": "Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.", "title": "Unrestricted", "type": "boolean", "x-materialization": [ { "enum_scope": "Pecos", "ir_key": "method.nond.growth_override", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "UNRESTRICTED" } ] } }, "additionalProperties": false }
- Fields:
- field unrestricted: Literal[True] = True
Overide the default restriction of growth rates for nested and non-nested rules that are by defualt synchronized for consistency.
