OpenPisco.Optim.Criteria.Criteria module#

OpenPisco.Optim.Criteria.Criteria.CheckIntegrity(GUI=False)[source]#

class OpenPisco.Optim.Criteria.Criteria.CriteriaBase(other=None)[source]#

Bases: object

AssertSuitableSolutionId(i)[source]#

GetName()[source]#

abstract GetNumberOfSolutions()[source]#

classmethod GetNumberOfSolutions(self)[source]#

Retrieve the number of solutions of the current criterion :return: number of solutions :rtype: int

GetScalarsOutputs() → dict[source]#

GetSensitivity()[source]#

classmethod GetSensitivity()[source]#

Get the current value of the sensitivity :return: current value of the sensitivity :rtype: ndarray

GetTargetValue()[source]#

GetUpperBound()[source]#

GetValue()[source]#

classmethod GetValue()[source]#

Get the current value of the criterion :return: current value of the criterion :rtype: float

SetName(name)[source]#

SetTargetValue(value)[source]#

SetUpperBound(bound)[source]#

UpdateCriteriaWhenIterationAccepted()[source]#

abstract UpdateValues(point, phi)[source]#

classmethod UpdateValues(self, point)[source]#

Update value and sensitivity of the criterion for the current levelset

Parameters: point (LevelSet) – current level set
Returns: paramater indicating if the update was successfull
Return type: bool

class OpenPisco.Optim.Criteria.Criteria.CriteriaFunctionPointer(other=None)[source]#

Bases: CriteriaBase

GetNumberOfSolutions()[source]#

classmethod GetNumberOfSolutions(self)[source]#

Retrieve the number of solutions of the current criterion :return: number of solutions :rtype: int

GetSolution(i)[source]#

UpdateValues(point)[source]#

classmethod UpdateValues(self, point)[source]#

Update value and sensitivity of the criterion for the current levelset

Parameters: point (LevelSet) – current level set
Returns: paramater indicating if the update was successfull
Return type: bool

class OpenPisco.Optim.Criteria.Criteria.PhysicalCriteriaBase(other=None)[source]#

Bases: CriteriaBase

abstract GetCriteriaSolution(i)[source]#

classmethod GetCriteriaSolution(self, i)[source]#

Retrieve the solution of index i. The index i should be smaller than the total number of solutions :param int i : index of the current solution :return: solution :rtype: ndarray

abstract GetCriteriaSolutionName(i)[source]#

classmethod GetCriteriaSolutionName(self, i)[source]#

Retrieve the name of the solution of index i. The index i should be smaller than the total number of solutions :param int i : index of the current solution :return: solution name :rtype: str

GetSolution(i)[source]#

GetSolutionName(i)[source]#

SetAdjointProblemLikeDirect(problemArg=None)[source]#

SetAuxiliaryQuantities(point)[source]#

SetProblem(problem)[source]#

UpdateCriteriaValues(point)[source]#

OpenPisco.Optim.Criteria.Criteria.UnimplementedFunction(name)[source]#