DualLinearCombinationGradient

class DualLinearCombinationGradient(*args)

Dual linear combination gradient implementation.

Parameters:

myDLCEIDualLinearCombinationEvaluation

A dual linear combination evaluation implementation.

See also

DualLinearCombinationEvaluation

DualLinearCombinationHessian

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.
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.
gradient(inP)	Return the Jacobian transposed matrix of the implementation at a point.
hasName()	Test if the object is named.
isActualImplementation()	Accessor to the validity flag.
setName(name)	Accessor to the object's name.
setParameter(parameter)	Accessor to the parameter values.

__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__).

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:

iint

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.

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.

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.