OpenPisco.Optim.Criteria.ComposedCriteria module#

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

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

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

Bases: CriteriaBase

GetInternalCriteria(i)[source]#

GetNumberOfInternalCriteria()[source]#

GetNumberOfSolutions()[source]#

classmethod GetNumberOfSolutions(self)[source]#

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

GetScalarsOutputs()[source]#

GetSolution(i)[source]#

GetSolutionName(i)[source]#

GetUpperBound()[source]#

SetUpperBound(val)[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

OpenPisco.Optim.Criteria.ComposedCriteria.CreateCriteriaFactor(ops)[source]#

OpenPisco.Optim.Criteria.ComposedCriteria.CreateCriteriaOffset(ops)[source]#

OpenPisco.Optim.Criteria.ComposedCriteria.CreateCriteriaPolynomialVanishing(ops)[source]#

OpenPisco.Optim.Criteria.ComposedCriteria.CreateCriteriaPower(ops)[source]#

OpenPisco.Optim.Criteria.ComposedCriteria.CreateCriteriaRatio(ops)[source]#

OpenPisco.Optim.Criteria.ComposedCriteria.CreateCriteriaWeighted(ops)[source]#

OpenPisco.Optim.Criteria.ComposedCriteria.CreateCriterionCyclicSymmetry(ops)[source]#

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

Bases: ComposedCriteria

GetSensitivity()[source]#

classmethod GetSensitivity()[source]#

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

GetValue()[source]#

classmethod GetValue()[source]#

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

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

Bases: ComposedCriteria

Composed Criteria to apply an offset and/or the absolute values This can be used to simulate a target values with tolerance

g(x) = |f(x)-offset| g’(x) = g(x) * f’(x)

|g(x)|

this is implemented with a sign function : sign(g(x)) = g(x)/|g(x)|

Parameters

offset (float) – offset to apply, by default 0.
absValue (bool) – if the absolute values is applied to the function, by default False

GetSensitivity()[source]#

classmethod GetSensitivity()[source]#

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

GetValue()[source]#

classmethod GetValue()[source]#

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

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

Bases: ComposedCriteria

Allow to generate a polynomial constraint from a given one.

if J is the internal criterion and B is its upperbound, then the polynomial function is B*(J/B-1)*( (J/B-1)**2+1 )+ B https://royalsocietypublishing.org/doi/10.1098/rspa.2019.0861

GetSensitivity()[source]#

classmethod GetSensitivity()[source]#

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

GetSlack()[source]#

GetValue()[source]#

classmethod GetValue()[source]#

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

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

Bases: ComposedCriteria

GetSensitivity()[source]#

classmethod GetSensitivity()[source]#

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

GetValue()[source]#

classmethod GetValue()[source]#

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

SetPower(value)[source]#

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

Bases: ComposedCriteria

Compute the derivative of the ratio of two given criteria

GetDenominatorCriteria()[source]#

GetNumeratorCriteria()[source]#

GetSensitivity()[source]#

classmethod GetSensitivity()[source]#

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

GetValue()[source]#

classmethod GetValue()[source]#

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

SetInternalCriteria(numcriteria, dencriteria)[source]#

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

Bases: ComposedCriteria

GetSensitivity()[source]#

classmethod GetSensitivity()[source]#

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

GetUpperBound()[source]#

GetValue()[source]#

classmethod GetValue()[source]#

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

SetUpperBound(val)[source]#

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

Bases: ComposedCriteria

Composed Criterion to impose a cyclic symmetry to the given sensitivity

This means that the sensitivity field looks the same after being rotated by an angle of (

rac{2pi}{nFold} ) radians.

It can be useful when the optimal geometry is expected to be symmetric but the boundary conditions are not The implementation uses the field transfer feature

nFoldint: fraction angle
axisstr: perform a planar rotation about a fixed axis

GetRotationMatrixAroundAxis(angle)[source]#

GetSensitivity()[source]#

classmethod GetSensitivity()[source]#

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

GetTransferedNodalField(inField, inMesh, targetNodes)[source]#

GetValue()[source]#

classmethod GetValue()[source]#

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

OpenPisco.Optim.Criteria.ComposedCriteria.OptToCriteria(ops, keysToRead=[], numberOfExpectedCriterion=1)[source]#

_summary_

Parameters

ops (_type_) – _description_
keysToRead (list, optional) – _description_, by default []
numberOfExpectedCriterion (int, optional) – -1 means at least one, by default 1

Returns

_description_

Return type

_type_

Raises

Exception – _description_
Exception – _description_

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

Bases: CriteriaBase

Eval()[source]#

GetNumberOfSolutions()[source]#

classmethod GetNumberOfSolutions(self)[source]#

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

GetSensitivity()[source]#

classmethod GetSensitivity()[source]#

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

GetValue()[source]#

classmethod GetValue()[source]#

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

SetComposedSymbExpression(criteriaExpression, criteriaByName)[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