OptimizationAnalysis¶

class persalys.OptimizationAnalysis(*args)¶

Perform the optimization analysis of a model.

Parameters

namestr: Name
physicalModelPhysicalModel: Physical model
solverNamestr: Optimization algorithm name (optional). Use GetSolverNames() to list available names.

Examples

>>> import openturns as ot
>>> import persalys

Create the model:

>>> R = persalys.Input('R', 0., ot.LogNormalMuSigma(300., 30., 0.).getDistribution(), 'Yield strength')
>>> F = persalys.Input('F', 0., ot.Normal(75000., 5000.), 'Traction load')
>>> G = persalys.Output('G', 'deviation')
>>> myPhysicalModel = persalys.SymbolicPhysicalModel('myPhysicalModel', [R, F], [G], ['R-F/(pi_*100.0)'])

Create the Model evaluation:

>>> analysis = persalys.OptimizationAnalysis('anAnalysis', myPhysicalModel, 'TNC')
>>> analysis.setInterestVariables(['G'])
>>> analysis.run()

Get the result:

>>> result = analysis.getResult()
>>> x = result.getOptimalPoint()
>>> y = result.getOptimalValue()

Attributes

AlgorithmDictionary
thisown: The membership flag

Methods

`GetSolverNames`(*args)	Accessor to the list of solver names.
`addConstraint`(*args)	Adds a constraint to the analysis
`getBounds`()	Accessor to bounds.
`getClassName`()	Accessor to the object's name.
`getErrorMessage`()	Error message accessor.
`getId`()	Accessor to the object's id.
`getInterestVariables`()	Get the variables to analyse.
`getMaximumAbsoluteError`()	Accessor to maximum allowed absolute error.
`getMaximumConstraintError`()	Accessor to maximum allowed constraint error.
`getMaximumEvaluationNumber`()	Accessor to maximum allowed number of evaluations.
`getMaximumRelativeError`()	Accessor to maximum allowed relative error.
`getMaximumResidualError`()	Accessor to maximum allowed residual error.
`getMinimization`()	Test whether this is a minimization or maximization problem.
`getName`()	Accessor to the object's name.
`getPhysicalModel`()	Physical model accessor.
`getPythonScript`()	Physical model accessor.
`getRawEquations`()	Accessor to constraints equations
`getResult`()	Accessor to optimization result.
`getShadowedId`()	Accessor to the object's shadowed id.
`getSolverName`()	Accessor to solver name
`getStartingPoint`()	Accessor to starting point.
`getVariableInputs`()	Accessor to variable input names
`getVisibility`()	Accessor to the object's visibility state.
`getWarningMessage`()	Warning message accessor.
`hasName`()	Test if the object is named.
`hasValidResult`()	Whether the analysis has been run.
`hasVisibleName`()	Test if the object has a distinguishable name.
`isReliabilityAnalysis`()	Whether the analysis involves reliability.
`isRunning`()	Whether the analysis is running.
`resetConstraints`()	Clears the current analysis constraints
`run`()	Launch the analysis.
`setBounds`(bounds)	Accessor to bounds.
`setInterestVariables`(variablesNames)	Set the variables to analyse.
`setMaximumAbsoluteError`(maximumAbsoluteError)	Accessor to maximum allowed absolute error.
`setMaximumConstraintError`(maximumConstraintError)	Accessor to maximum allowed constraint error.
`setMaximumEvaluationNumber`(...)	Accessor to maximum allowed number of evaluations.
`setMaximumRelativeError`(maximumRelativeError)	Accessor to maximum allowed relative error.
`setMaximumResidualError`(maximumResidualError)	Accessor to maximum allowed residual error.
`setMinimization`(minimization)	Tell whether this is a minimization or maximization problem.
`setName`(name)	Accessor to the object's name.
`setShadowedId`(id)	Accessor to the object's shadowed id.
`setSolverName`(name)	Accessor to solver name
`setStartingPoint`(startingPoint)	Accessor to starting point.
`setVariableInputs`(inputs)	Accessor to variable input names
`setVisibility`(visible)	Accessor to the object's visibility state.

canBeLaunched
defineProblem
getElapsedTime
getEqualityConstraints
getInequalityConstraints
getParentObserver
getVariablesType
setVariablesType

__init__(*args)¶

static GetSolverNames(*args)¶

Accessor to the list of solver names.

Returns

namesDescription: List of available solver names.

addConstraint(*args)¶

Adds a constraint to the analysis

Parameters

constraintstr: Constraint equation

getBounds()¶

Accessor to bounds.

Returns

boundsInterval: Problem bounds.

getClassName()¶

Accessor to the object’s name.

Returns

class_namestr: The object class name (object.__class__.__name__).

getErrorMessage()¶

Error message accessor.

Returns

messagestr: Error message if the analysis failed

getId()¶

Accessor to the object’s id.

Returns

idint: Internal unique identifier.

getInterestVariables()¶

Get the variables to analyse.

Returns

variablesNamessequence of str: Names of the variables to analyse

getMaximumAbsoluteError()¶

Accessor to maximum allowed absolute error.

Returns

maximumAbsoluteErrorfloat: Maximum allowed absolute error.

getMaximumConstraintError()¶

Accessor to maximum allowed constraint error.

Returns

maximumConstraintErrorfloat: Maximum allowed constraint error.

getMaximumEvaluationNumber()¶

Accessor to maximum allowed number of evaluations.

Returns

Nint: Maximum allowed number of evaluations

getMaximumRelativeError()¶

Accessor to maximum allowed relative error.

Returns

maximumRelativeErrorfloat: Maximum allowed relative error.

getMaximumResidualError()¶

Accessor to maximum allowed residual error.

Returns

maximumResidualErrorfloat: Maximum allowed residual error.

getMinimization()¶

Test whether this is a minimization or maximization problem.

Returns

valuebool: True if this is a minimization problem (default), False otherwise.

getName()¶

Accessor to the object’s name.

Returns

namestr: The name of the object.

getPhysicalModel()¶

Physical model accessor.

Returns

modelPhysicalModel: Physical model

getPythonScript()¶

Physical model accessor.

Returns

scriptstr: Python script to replay the analysis

getRawEquations()¶

Accessor to constraints equations

Returns

equationssequence of str: Constraints equations

getResult()¶

Accessor to optimization result.

Returns

resultOptimizationResult: Result class.

getShadowedId()¶

Accessor to the object’s shadowed id.

Returns

idint: Internal unique identifier.

getSolverName()¶

Accessor to solver name

Returns

solverstr: Solver name

getStartingPoint()¶

Accessor to starting point.

Returns

startingPointPoint: Starting point.

getVariableInputs()¶

Accessor to variable input names

Returns

inputsDescription: Variable input names. It is set by default to the list of inputs of the model.

getVisibility()¶

Accessor to the object’s visibility state.

Returns

visiblebool: Visibility flag.

getWarningMessage()¶

Warning message accessor.

Returns

messagestr: Warning message which can appear during the analysis computation

hasName()¶

Test if the object is named.

Returns

hasNamebool: True if the name is not empty.

hasValidResult()¶

Whether the analysis has been run.

Returns

hasValidResultbool: Whether the analysis has already been run

hasVisibleName()¶

Test if the object has a distinguishable name.

Returns

hasVisibleNamebool: True if the name is not empty and not the default one.

isReliabilityAnalysis()¶

Whether the analysis involves reliability.

Returns

isReliabilityAnalysisbool: Whether the analysis involves a reliability analysis

isRunning()¶

Whether the analysis is running.

Returns

isRunningbool: Whether the analysis is running

resetConstraints()¶: Clears the current analysis constraints

run()¶: Launch the analysis.

setBounds(bounds)¶

Accessor to bounds.

Parameters

boundsInterval: Problem bounds.

setInterestVariables(variablesNames)¶

Set the variables to analyse.

Parameters

variablesNamessequence of str: Names of the variables to analyse

setMaximumAbsoluteError(maximumAbsoluteError)¶

Accessor to maximum allowed absolute error.

Parameters

maximumAbsoluteErrorfloat: Maximum allowed absolute error.

setMaximumConstraintError(maximumConstraintError)¶

Accessor to maximum allowed constraint error.

Parameters

maximumConstraintErrorfloat: Maximum allowed constraint error.

setMaximumEvaluationNumber(maximumEvaluationNumber)¶

Accessor to maximum allowed number of evaluations.

Parameters

Nint: Maximum allowed number of evaluations.

setMaximumRelativeError(maximumRelativeError)¶

Accessor to maximum allowed relative error.

Parameters

maximumRelativeErrorfloat: Maximum allowed relative error.

setMaximumResidualError(maximumResidualError)¶

Accessor to maximum allowed residual error.

Parameters

maximumResidualErrorfloat: Maximum allowed residual error.

setMinimization(minimization)¶

Tell whether this is a minimization or maximization problem.

Parameters

minimizationbool: True if this is a minimization problem, False otherwise.

setName(name)¶

Accessor to the object’s name.

Parameters

namestr: The name of the object.

setShadowedId(id)¶

Accessor to the object’s shadowed id.

Parameters

idint: Internal unique identifier.

setSolverName(name)¶

Accessor to solver name

Parameters

solverstr: Solver name. Use GetSolverNames() to list available names.

setStartingPoint(startingPoint)¶

Accessor to starting point.

Parameters

startingPointsequence of float: Starting point.

setVariableInputs(inputs)¶

Accessor to variable input names

Parameters

inputssequence of str: Variable input names. It is set by default to the list of inputs of the model.

setVisibility(visible)¶

Accessor to the object’s visibility state.

Parameters

visiblebool: Visibility flag.

property thisown¶: The membership flag

OptimizationAnalysis¶

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