DualLinearCombinationGradient

class DualLinearCombinationGradient(*args)

Dual linear combination gradient implementation.

Available constructors:

DualLinearCombinationGradient(myDLCEI)

Parameters
myDLCEIDualLinearCombinationEvaluation

A dual linear combination evaluation implementation.

Notes

It returns the implementation of the gradient. By default, the analytical gradient is implemented.

Methods

getCallsNumber()

Accessor to the number of times the gradient has been called.

getClassName()

Accessor to the object's name.

getId()

Accessor to the object's id.

getInputDimension()

Accessor to the number of the inputs.

getMarginal(*args)

Accessor to the gradient implementation of a specific output.

getName()

Accessor to the object's name.

getOutputDimension()

Accessor to the number of the outputs.

getParameter()

Accessor to the parameter values.

getShadowedId()

Accessor to the object's shadowed id.

getVisibility()

Accessor to the object's visibility state.

gradient(inP)

Return the Jacobian transposed matrix of the implementation at a point.

hasName()

Test if the object is named.

hasVisibleName()

Test if the object has a distinguishable name.

isActualImplementation()

Accessor to the validity flag.

setName(name)

Accessor to the object's name.

setParameter(parameter)

Accessor to the parameter values.

setShadowedId(id)

Accessor to the object's shadowed id.

setVisibility(visible)

Accessor to the object's visibility state.

__init__(*args)
getCallsNumber()

Accessor to the number of times the gradient has been called.

Returns
calls_numberint

Integer that counts the number of times the gradient has been called since its creation.

getClassName()

Accessor to the object’s name.

Returns
class_namestr

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

getId()

Accessor to the object’s id.

Returns
idint

Internal unique identifier.

getInputDimension()

Accessor to the number of the inputs.

Returns
number_inputsint

Number of inputs.

getMarginal(*args)

Accessor to the gradient implementation of a specific output.

Parameters
iinteger

Integer corresponding to the output (Care: it starts at 0).

indicessequence of integer

The set of indices for which the outputs are extracted.

Returns
gradientImplementationGradientImplementation

A gradient implementation restricted to its compenents functions which indices are i or indices.

getName()

Accessor to the object’s name.

Returns
namestr

The name of the object.

getOutputDimension()

Accessor to the number of the outputs.

Returns
number_outputsint

Number of outputs.

getParameter()

Accessor to the parameter values.

Returns
parameterPoint

The parameter values.

getShadowedId()

Accessor to the object’s shadowed id.

Returns
idint

Internal unique identifier.

getVisibility()

Accessor to the object’s visibility state.

Returns
visiblebool

Visibility flag.

gradient(inP)

Return the Jacobian transposed matrix of the implementation at a point.

Parameters
pointsequence of float

Point where the Jacobian transposed matrix is calculated.

Returns
gradientMatrix

The Jacobian transposed matrix of the function at point.

hasName()

Test if the object is named.

Returns
hasNamebool

True if the name is not empty.

hasVisibleName()

Test if the object has a distinguishable name.

Returns
hasVisibleNamebool

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

isActualImplementation()

Accessor to the validity flag.

Returns
is_implbool

Whether the implementation is valid.

setName(name)

Accessor to the object’s name.

Parameters
namestr

The name of the object.

setParameter(parameter)

Accessor to the parameter values.

Parameters
parametersequence of float

The parameter values.

setShadowedId(id)

Accessor to the object’s shadowed id.

Parameters
idint

Internal unique identifier.

setVisibility(visible)

Accessor to the object’s visibility state.

Parameters
visiblebool

Visibility flag.