coliny_pattern_search
- pydantic model dakota.spec.method.coliny_pattern_search.ColinyPatternSearchSelection
Generated model for ColinyPatternSearchSelection
Show JSON schema
{ "title": "ColinyPatternSearchSelection", "description": "Generated model for ColinyPatternSearchSelection", "type": "object", "properties": { "coliny_pattern_search": { "$ref": "#/$defs/ColinyPatternSearchConfig", "x-materialization": [ { "ir_key": "method.algorithm", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "COLINY_PATTERN_SEARCH" } ] } }, "$defs": { "AdaptivePattern": { "additionalProperties": false, "description": "Adaptively rescale search directions", "properties": { "adaptive_pattern": { "const": true, "default": true, "description": "Adaptively rescale search directions", "title": "Adaptive Pattern", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.exploratory_moves", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "adaptive" } ] } }, "title": "AdaptivePattern", "type": "object" }, "BasicPattern": { "additionalProperties": false, "description": "Use the same search pattern every iteration", "properties": { "basic_pattern": { "const": true, "default": true, "description": "Use the same search pattern every iteration", "title": "Basic Pattern", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.exploratory_moves", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "simple" } ] } }, "title": "BasicPattern", "type": "object" }, "Blocking": { "additionalProperties": false, "description": "Complete concurrent evaluation of all evaluations within a batch", "properties": { "blocking": { "const": true, "default": true, "description": "Complete concurrent evaluation of all evaluations within a batch", "title": "Blocking", "type": "boolean", "x-materialization": [ { "ir_key": "method.synchronization", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "BLOCKING_SYNCHRONIZATION" } ] } }, "title": "Blocking", "type": "object" }, "ColinyPatternSearchConfig": { "additionalProperties": false, "description": "Pattern search, derivative free optimization method", "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" } ] }, "solution_target": { "default": -1.7976931348623157e+308, "description": "Stopping criteria based on objective function value", "title": "Solution Target", "type": "number", "x-aliases": [ "solution_accuracy" ], "x-materialization": [ { "ir_key": "method.asynch_pattern_search.solution_target", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" }, { "ir_key": "method.solution_target", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "seed": { "anyOf": [ { "exclusiveMinimum": 0, "type": "integer" }, { "type": "null" } ], "default": null, "description": "Seed of the random number generator", "title": "Seed", "x-materialization": [ { "ir_key": "method.random_seed", "ir_value_type": "int", "storage_type": "DIRECT_VALUE" } ] }, "show_misc_options": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Show algorithm parameters not exposed in Dakota input", "title": "Show Misc Options", "x-materialization": [ { "ir_key": "method.coliny.show_misc_options", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "misc_options": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Set method options not available through Dakota spec", "title": "Misc Options", "x-materialization": [ { "ir_key": "method.coliny.misc_options", "ir_value_type": "StringArray", "storage_type": "DIRECT_VALUE" } ] }, "max_iterations": { "default": 9223372036854775807, "description": "Number of iterations allowed for optimizers and adaptive UQ methods", "minimum": 0, "title": "Max Iterations", "type": "integer", "x-materialization": [ { "ir_key": "method.max_iterations", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "convergence_tolerance": { "default": -1.7976931348623157e+308, "description": "Stopping criterion based on objective function or statistics convergence", "title": "Convergence Tolerance", "type": "number", "x-materialization": [ { "ir_key": "method.convergence_tolerance", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" }, { "ir_key": "method.jega.percent_change", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "max_function_evaluations": { "default": 9223372036854775807, "description": "Number of function evaluations allowed for optimizers", "minimum": 0, "title": "Max Function Evaluations", "type": "integer", "x-materialization": [ { "ir_key": "method.max_function_evaluations", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "scaling": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Turn on scaling for variables, responses, and constraints", "title": "Scaling", "x-materialization": [ { "ir_key": "method.scaling", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "synchronization": { "anyOf": [ { "$ref": "#/$defs/Blocking" }, { "$ref": "#/$defs/Nonblocking" }, { "type": "null" } ], "default": null, "description": "Select how Dakota schedules a batch of concurrent function evaluations in a parallel algorithm", "title": "Synchronization", "x-union-pattern": 2 }, "id_method": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Name the method block; helpful when there are multiple", "title": "Id Method", "x-materialization": [ { "ir_key": "method.id", "ir_value_type": "String", "storage_type": "DIRECT_VALUE" } ] }, "output": { "anyOf": [ { "$ref": "#/$defs/Debug" }, { "$ref": "#/$defs/Verbose" }, { "$ref": "#/$defs/Normal" }, { "$ref": "#/$defs/Quiet" }, { "$ref": "#/$defs/Silent" } ], "description": "Control how much method information is written to the screen and output file", "title": "Output", "x-model-default": "Normal", "x-union-pattern": 1 }, "final_solutions": { "default": 0, "description": "Number of designs returned as the best solutions", "minimum": 0, "title": "Final Solutions", "type": "integer", "x-materialization": [ { "ir_key": "method.final_solutions", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "constant_penalty": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Use a simple weighted penalty to manage feasibility", "title": "Constant Penalty", "x-materialization": [ { "ir_key": "method.coliny.constant_penalty", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "no_expansion": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Don't allow expansion of the search pattern", "title": "No Expansion", "x-materialization": [ { "ir_key": "method.coliny.expansion", "ir_value_type": "bool", "storage_type": "PRESENCE_FALSE" } ] }, "expand_after_success": { "default": 0, "description": "Set the factor by which a search pattern can be expanded", "title": "Expand After Success", "type": "integer", "x-materialization": [ { "ir_key": "method.coliny.expand_after_success", "ir_value_type": "int", "storage_type": "DIRECT_VALUE" } ] }, "pattern_basis": { "anyOf": [ { "$ref": "#/$defs/Coordinate" }, { "$ref": "#/$defs/Simplex" }, { "type": "null" } ], "default": null, "description": "Pattern basis selection", "title": "Pattern Basis", "x-union-pattern": 2 }, "stochastic": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Generate trial points in random order", "title": "Stochastic", "x-materialization": [ { "ir_key": "method.coliny.randomize", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "total_pattern_size": { "default": 0, "description": "Total number of points in search pattern", "title": "Total Pattern Size", "type": "integer", "x-materialization": [ { "ir_key": "method.coliny.total_pattern_size", "ir_value_type": "int", "storage_type": "DIRECT_VALUE" } ] }, "exploratory_moves": { "anyOf": [ { "$ref": "#/$defs/MultiStep" }, { "$ref": "#/$defs/AdaptivePattern" }, { "$ref": "#/$defs/BasicPattern" }, { "type": "null" } ], "default": null, "description": "Exploratory moves selection", "title": "Exploratory Moves", "x-union-pattern": 2 }, "contraction_factor": { "default": 0.5, "description": "Amount by which step length is rescaled", "title": "Contraction Factor", "type": "number", "x-materialization": [ { "ir_key": "method.coliny.contraction_factor", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "constraint_penalty": { "default": -1.0, "description": "Multiplier for the penalty function", "title": "Constraint Penalty", "type": "number", "x-materialization": [ { "ir_key": "method.constraint_penalty", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "initial_delta": { "default": -1.0, "description": "Initial step size for derivative-free optimizers", "title": "Initial Delta", "type": "number", "x-materialization": [ { "ir_key": "method.coliny.initial_delta", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "variable_tolerance": { "default": -1.0, "description": "Step length-based stopping criteria for derivative-free optimizers", "title": "Variable Tolerance", "type": "number", "x-materialization": [ { "ir_key": "method.coliny.variable_tolerance", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] } }, "title": "ColinyPatternSearchConfig", "type": "object" }, "Coordinate": { "additionalProperties": false, "description": "Use coordinate directions as search pattern", "properties": { "coordinate": { "const": true, "default": true, "description": "Use coordinate directions as search pattern", "title": "Coordinate", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.pattern_basis", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "coordinate" } ] } }, "title": "Coordinate", "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" }, "MultiStep": { "additionalProperties": false, "description": "Examine trial step around successful new point", "properties": { "multi_step": { "const": true, "default": true, "description": "Examine trial step around successful new point", "title": "Multi Step", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.exploratory_moves", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "multi_step" } ] } }, "title": "MultiStep", "type": "object" }, "Nonblocking": { "additionalProperties": false, "description": "A batch of concurrent evaluations are queried for completions and a partial set is returned to the algorithm", "properties": { "nonblocking": { "const": true, "default": true, "description": "A batch of concurrent evaluations are queried for completions and a partial set is returned to the algorithm", "title": "Nonblocking", "type": "boolean", "x-materialization": [ { "ir_key": "method.synchronization", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NONBLOCKING_SYNCHRONIZATION" } ] } }, "title": "Nonblocking", "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" }, "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" }, "Simplex": { "additionalProperties": false, "description": "Use a minimal simplex for the search pattern", "properties": { "simplex": { "const": true, "default": true, "description": "Use a minimal simplex for the search pattern", "title": "Simplex", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.pattern_basis", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "simplex" } ] } }, "title": "Simplex", "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": [ "coliny_pattern_search" ] }
- field coliny_pattern_search: ColinyPatternSearchConfig [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.coliny_pattern_search.ColinyPatternSearchConfig
Pattern search, derivative free optimization method
Show JSON schema
{ "title": "ColinyPatternSearchConfig", "description": "Pattern search, derivative free optimization method", "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" } ] }, "solution_target": { "default": -1.7976931348623157e+308, "description": "Stopping criteria based on objective function value", "title": "Solution Target", "type": "number", "x-aliases": [ "solution_accuracy" ], "x-materialization": [ { "ir_key": "method.asynch_pattern_search.solution_target", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" }, { "ir_key": "method.solution_target", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "seed": { "anyOf": [ { "exclusiveMinimum": 0, "type": "integer" }, { "type": "null" } ], "default": null, "description": "Seed of the random number generator", "title": "Seed", "x-materialization": [ { "ir_key": "method.random_seed", "ir_value_type": "int", "storage_type": "DIRECT_VALUE" } ] }, "show_misc_options": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Show algorithm parameters not exposed in Dakota input", "title": "Show Misc Options", "x-materialization": [ { "ir_key": "method.coliny.show_misc_options", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "misc_options": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "Set method options not available through Dakota spec", "title": "Misc Options", "x-materialization": [ { "ir_key": "method.coliny.misc_options", "ir_value_type": "StringArray", "storage_type": "DIRECT_VALUE" } ] }, "max_iterations": { "default": 9223372036854775807, "description": "Number of iterations allowed for optimizers and adaptive UQ methods", "minimum": 0, "title": "Max Iterations", "type": "integer", "x-materialization": [ { "ir_key": "method.max_iterations", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "convergence_tolerance": { "default": -1.7976931348623157e+308, "description": "Stopping criterion based on objective function or statistics convergence", "title": "Convergence Tolerance", "type": "number", "x-materialization": [ { "ir_key": "method.convergence_tolerance", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" }, { "ir_key": "method.jega.percent_change", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "max_function_evaluations": { "default": 9223372036854775807, "description": "Number of function evaluations allowed for optimizers", "minimum": 0, "title": "Max Function Evaluations", "type": "integer", "x-materialization": [ { "ir_key": "method.max_function_evaluations", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "scaling": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Turn on scaling for variables, responses, and constraints", "title": "Scaling", "x-materialization": [ { "ir_key": "method.scaling", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "synchronization": { "anyOf": [ { "$ref": "#/$defs/Blocking" }, { "$ref": "#/$defs/Nonblocking" }, { "type": "null" } ], "default": null, "description": "Select how Dakota schedules a batch of concurrent function evaluations in a parallel algorithm", "title": "Synchronization", "x-union-pattern": 2 }, "id_method": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Name the method block; helpful when there are multiple", "title": "Id Method", "x-materialization": [ { "ir_key": "method.id", "ir_value_type": "String", "storage_type": "DIRECT_VALUE" } ] }, "output": { "anyOf": [ { "$ref": "#/$defs/Debug" }, { "$ref": "#/$defs/Verbose" }, { "$ref": "#/$defs/Normal" }, { "$ref": "#/$defs/Quiet" }, { "$ref": "#/$defs/Silent" } ], "description": "Control how much method information is written to the screen and output file", "title": "Output", "x-model-default": "Normal", "x-union-pattern": 1 }, "final_solutions": { "default": 0, "description": "Number of designs returned as the best solutions", "minimum": 0, "title": "Final Solutions", "type": "integer", "x-materialization": [ { "ir_key": "method.final_solutions", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "constant_penalty": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Use a simple weighted penalty to manage feasibility", "title": "Constant Penalty", "x-materialization": [ { "ir_key": "method.coliny.constant_penalty", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "no_expansion": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Don't allow expansion of the search pattern", "title": "No Expansion", "x-materialization": [ { "ir_key": "method.coliny.expansion", "ir_value_type": "bool", "storage_type": "PRESENCE_FALSE" } ] }, "expand_after_success": { "default": 0, "description": "Set the factor by which a search pattern can be expanded", "title": "Expand After Success", "type": "integer", "x-materialization": [ { "ir_key": "method.coliny.expand_after_success", "ir_value_type": "int", "storage_type": "DIRECT_VALUE" } ] }, "pattern_basis": { "anyOf": [ { "$ref": "#/$defs/Coordinate" }, { "$ref": "#/$defs/Simplex" }, { "type": "null" } ], "default": null, "description": "Pattern basis selection", "title": "Pattern Basis", "x-union-pattern": 2 }, "stochastic": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Generate trial points in random order", "title": "Stochastic", "x-materialization": [ { "ir_key": "method.coliny.randomize", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "total_pattern_size": { "default": 0, "description": "Total number of points in search pattern", "title": "Total Pattern Size", "type": "integer", "x-materialization": [ { "ir_key": "method.coliny.total_pattern_size", "ir_value_type": "int", "storage_type": "DIRECT_VALUE" } ] }, "exploratory_moves": { "anyOf": [ { "$ref": "#/$defs/MultiStep" }, { "$ref": "#/$defs/AdaptivePattern" }, { "$ref": "#/$defs/BasicPattern" }, { "type": "null" } ], "default": null, "description": "Exploratory moves selection", "title": "Exploratory Moves", "x-union-pattern": 2 }, "contraction_factor": { "default": 0.5, "description": "Amount by which step length is rescaled", "title": "Contraction Factor", "type": "number", "x-materialization": [ { "ir_key": "method.coliny.contraction_factor", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "constraint_penalty": { "default": -1.0, "description": "Multiplier for the penalty function", "title": "Constraint Penalty", "type": "number", "x-materialization": [ { "ir_key": "method.constraint_penalty", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "initial_delta": { "default": -1.0, "description": "Initial step size for derivative-free optimizers", "title": "Initial Delta", "type": "number", "x-materialization": [ { "ir_key": "method.coliny.initial_delta", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] }, "variable_tolerance": { "default": -1.0, "description": "Step length-based stopping criteria for derivative-free optimizers", "title": "Variable Tolerance", "type": "number", "x-materialization": [ { "ir_key": "method.coliny.variable_tolerance", "ir_value_type": "Real", "storage_type": "DIRECT_VALUE" } ] } }, "$defs": { "AdaptivePattern": { "additionalProperties": false, "description": "Adaptively rescale search directions", "properties": { "adaptive_pattern": { "const": true, "default": true, "description": "Adaptively rescale search directions", "title": "Adaptive Pattern", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.exploratory_moves", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "adaptive" } ] } }, "title": "AdaptivePattern", "type": "object" }, "BasicPattern": { "additionalProperties": false, "description": "Use the same search pattern every iteration", "properties": { "basic_pattern": { "const": true, "default": true, "description": "Use the same search pattern every iteration", "title": "Basic Pattern", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.exploratory_moves", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "simple" } ] } }, "title": "BasicPattern", "type": "object" }, "Blocking": { "additionalProperties": false, "description": "Complete concurrent evaluation of all evaluations within a batch", "properties": { "blocking": { "const": true, "default": true, "description": "Complete concurrent evaluation of all evaluations within a batch", "title": "Blocking", "type": "boolean", "x-materialization": [ { "ir_key": "method.synchronization", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "BLOCKING_SYNCHRONIZATION" } ] } }, "title": "Blocking", "type": "object" }, "Coordinate": { "additionalProperties": false, "description": "Use coordinate directions as search pattern", "properties": { "coordinate": { "const": true, "default": true, "description": "Use coordinate directions as search pattern", "title": "Coordinate", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.pattern_basis", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "coordinate" } ] } }, "title": "Coordinate", "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" }, "MultiStep": { "additionalProperties": false, "description": "Examine trial step around successful new point", "properties": { "multi_step": { "const": true, "default": true, "description": "Examine trial step around successful new point", "title": "Multi Step", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.exploratory_moves", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "multi_step" } ] } }, "title": "MultiStep", "type": "object" }, "Nonblocking": { "additionalProperties": false, "description": "A batch of concurrent evaluations are queried for completions and a partial set is returned to the algorithm", "properties": { "nonblocking": { "const": true, "default": true, "description": "A batch of concurrent evaluations are queried for completions and a partial set is returned to the algorithm", "title": "Nonblocking", "type": "boolean", "x-materialization": [ { "ir_key": "method.synchronization", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NONBLOCKING_SYNCHRONIZATION" } ] } }, "title": "Nonblocking", "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" }, "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" }, "Simplex": { "additionalProperties": false, "description": "Use a minimal simplex for the search pattern", "properties": { "simplex": { "const": true, "default": true, "description": "Use a minimal simplex for the search pattern", "title": "Simplex", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.pattern_basis", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "simplex" } ] } }, "title": "Simplex", "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 }
- Fields:
- field constant_penalty: Literal[True] | None = None
Use a simple weighted penalty to manage feasibility
- field constraint_penalty: DakotaFloat = -1.0
Multiplier for the penalty function
- Constraints:
func = <function _serialize_dakota_float at 0x7f2a3de76700>
return_type = float | str
when_used = json
- field contraction_factor: DakotaFloat = 0.5
Amount by which step length is rescaled
- Constraints:
func = <function _serialize_dakota_float at 0x7f2a3de76700>
return_type = float | str
when_used = json
- field convergence_tolerance: DakotaFloat = -1.7976931348623157e+308
Stopping criterion based on objective function or statistics convergence
- Constraints:
func = <function _serialize_dakota_float at 0x7f2a3de76700>
return_type = float | str
when_used = json
- field expand_after_success: int = 0
Set the factor by which a search pattern can be expanded
- field exploratory_moves: MultiStep | AdaptivePattern | BasicPattern | None = None
Exploratory moves selection
- field final_solutions: int = 0
Number of designs returned as the best solutions
- Constraints:
ge = 0
- field id_method: str | None = None
Name the method block; helpful when there are multiple
- field initial_delta: DakotaFloat = -1.0
Initial step size for derivative-free optimizers
- Constraints:
func = <function _serialize_dakota_float at 0x7f2a3de76700>
return_type = float | str
when_used = json
- field max_function_evaluations: int = 9223372036854775807
Number of function evaluations allowed for optimizers
- Constraints:
ge = 0
- field max_iterations: int = 9223372036854775807
Number of iterations allowed for optimizers and adaptive UQ methods
- Constraints:
ge = 0
- field misc_options: list[str] | None = None
Set method options not available through Dakota spec
- field model_pointer: str | None = None
Identifier for model block to be used by a method
- field no_expansion: Literal[True] | None = None
Don’t allow expansion of the search pattern
- field output: Debug | Verbose | Normal | Quiet | Silent [Optional]
Control how much method information is written to the screen and output file
- field pattern_basis: Coordinate | Simplex | None = None
Pattern basis selection
- field scaling: Literal[True] | None = None
Turn on scaling for variables, responses, and constraints
- field seed: int | None = None
Seed of the random number generator
- Constraints:
gt = 0
- field show_misc_options: Literal[True] | None = None
Show algorithm parameters not exposed in Dakota input
- field solution_target: DakotaFloat = -1.7976931348623157e+308
Stopping criteria based on objective function value
- Constraints:
func = <function _serialize_dakota_float at 0x7f2a3de76700>
return_type = float | str
when_used = json
- field stochastic: Literal[True] | None = None
Generate trial points in random order
- field synchronization: Blocking | Nonblocking | None = None
Select how Dakota schedules a batch of concurrent function evaluations in a parallel algorithm
- field total_pattern_size: int = 0
Total number of points in search pattern
- field variable_tolerance: DakotaFloat = -1.0
Step length-based stopping criteria for derivative-free optimizers
- Constraints:
func = <function _serialize_dakota_float at 0x7f2a3de76700>
return_type = float | str
when_used = json
Generated Pydantic models for method.coliny_pattern_search
- pydantic model dakota.spec.method.coliny_pattern_search.AdaptivePattern
Adaptively rescale search directions
Show JSON schema
{ "title": "AdaptivePattern", "description": "Adaptively rescale search directions", "type": "object", "properties": { "adaptive_pattern": { "const": true, "default": true, "description": "Adaptively rescale search directions", "title": "Adaptive Pattern", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.exploratory_moves", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "adaptive" } ] } }, "additionalProperties": false }
- Fields:
- field adaptive_pattern: Literal[True] = True
Adaptively rescale search directions
- pydantic model dakota.spec.method.coliny_pattern_search.BasicPattern
Use the same search pattern every iteration
Show JSON schema
{ "title": "BasicPattern", "description": "Use the same search pattern every iteration", "type": "object", "properties": { "basic_pattern": { "const": true, "default": true, "description": "Use the same search pattern every iteration", "title": "Basic Pattern", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.exploratory_moves", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "simple" } ] } }, "additionalProperties": false }
- Fields:
- field basic_pattern: Literal[True] = True
Use the same search pattern every iteration
- pydantic model dakota.spec.method.coliny_pattern_search.Coordinate
Use coordinate directions as search pattern
Show JSON schema
{ "title": "Coordinate", "description": "Use coordinate directions as search pattern", "type": "object", "properties": { "coordinate": { "const": true, "default": true, "description": "Use coordinate directions as search pattern", "title": "Coordinate", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.pattern_basis", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "coordinate" } ] } }, "additionalProperties": false }
- Fields:
- field coordinate: Literal[True] = True
Use coordinate directions as search pattern
- pydantic model dakota.spec.method.coliny_pattern_search.MultiStep
Examine trial step around successful new point
Show JSON schema
{ "title": "MultiStep", "description": "Examine trial step around successful new point", "type": "object", "properties": { "multi_step": { "const": true, "default": true, "description": "Examine trial step around successful new point", "title": "Multi Step", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.exploratory_moves", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "multi_step" } ] } }, "additionalProperties": false }
- Fields:
- field multi_step: Literal[True] = True
Examine trial step around successful new point
- pydantic model dakota.spec.method.coliny_pattern_search.Simplex
Use a minimal simplex for the search pattern
Show JSON schema
{ "title": "Simplex", "description": "Use a minimal simplex for the search pattern", "type": "object", "properties": { "simplex": { "const": true, "default": true, "description": "Use a minimal simplex for the search pattern", "title": "Simplex", "type": "boolean", "x-materialization": [ { "ir_key": "method.coliny.pattern_basis", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "simplex" } ] } }, "additionalProperties": false }
- Fields:
- field simplex: Literal[True] = True
Use a minimal simplex for the search pattern
