CenteredFiniteDifferenceGradient

class CenteredFiniteDifferenceGradient(*args)

First order centered finite-difference scheme.

Available constructors:

CenteredFiniteDifferenceGradient(epsilon, evalImpl)

CenteredFiniteDifferenceGradient(step, evalImpl)

Parameters

evalImplEvaluationImplementation

Implementation of the evaluation of a function.

epsilonfloat, sequence of float

Finite difference steps for each dimension.

stepFiniteDifferenceStep

Defines how finite difference steps values are computed.

Notes

CenteredFiniteDifferenceGradient provides a first order centered finite- difference scheme:

Examples

>>> import openturns as ot
>>> formulas = ['x1 * sin(x2)', 'cos(x1 + x2)', '(x2 + 1) * exp(x1 - 2 * x2)']
>>> myFunc = ot.SymbolicFunction(['x1', 'x2'], formulas)
>>> epsilon = [0.01]*2
>>> myGradient = ot.CenteredFiniteDifferenceGradient(epsilon, myFunc.getEvaluation())
>>> inPoint = [1.]*2
>>> print(myGradient.gradient(inPoint))
[[  0.841471 -0.909282  0.735771 ]
 [  0.540293 -0.909282 -1.10366  ]]

Methods

getCallsNumber(self)	Accessor to the number of times the gradient has been called.
getClassName(self)	Accessor to the object’s name.
getEpsilon(self)	Get the finite difference steps.
getEvaluation(self)	Get the implementation of the evaluation of the function.
getFiniteDifferenceStep(self)	Get the finite difference step.
getId(self)	Accessor to the object’s id.
getInputDimension(self)	Get the input dimension.
getMarginal(self, \*args)	Accessor to the gradient implementation of a specific output.
getName(self)	Accessor to the object’s name.
getOutputDimension(self)	Get the output dimension.
getParameter(self)	Accessor to the parameter values.
getShadowedId(self)	Accessor to the object’s shadowed id.
getVisibility(self)	Accessor to the object’s visibility state.
gradient(self, inP)	Get the gradient at some point.
hasName(self)	Test if the object is named.
hasVisibleName(self)	Test if the object has a distinguishable name.
isActualImplementation(self)	Accessor to the validity flag.
setFiniteDifferenceStep(self, …)	Set the finite difference step.
setName(self, name)	Accessor to the object’s name.
setParameter(self, parameter)	Accessor to the parameter values.
setShadowedId(self, id)	Accessor to the object’s shadowed id.
setVisibility(self, visible)	Accessor to the object’s visibility state.

__init__(self, *args)

Initialize self. See help(type(self)) for accurate signature.

getCallsNumber(self)

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(self)

Accessor to the object’s name.

Returns

class_namestr

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

getEpsilon(self)

Get the finite difference steps.

Returns

epsilonPoint

Finite difference steps for each dimension.

getEvaluation(self)

Get the implementation of the evaluation of the function.

Returns

evalImplEvaluationImplementation

Implementation of the evaluation of a function.

getFiniteDifferenceStep(self)

Get the finite difference step.

Returns

stepFiniteDifferenceStep

Defines how finite difference steps values are computed.

getId(self)

Accessor to the object’s id.

Returns

idint

Internal unique identifier.

getInputDimension(self)

Get the input dimension.

Returns

dimensionint

Input dimension.

getMarginal(self, *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(self)

Accessor to the object’s name.

Returns

namestr

The name of the object.

getOutputDimension(self)

Get the output dimension.

Returns

dimensionint

Output dimension.

getParameter(self)

Accessor to the parameter values.

Returns

parameterPoint

The parameter values.

getShadowedId(self)

Accessor to the object’s shadowed id.

Returns

idint

Internal unique identifier.

getVisibility(self)

Accessor to the object’s visibility state.

Returns

visiblebool

Visibility flag.

gradient(self, inP)

Get the gradient at some point.

Parameters

pointsequence of float

Point where the gradient is computed.

Returns

gradientMatrix

Transposed Jacobian matrix evaluated at point.

hasName(self)

Test if the object is named.

Returns

hasNamebool

True if the name is not empty.

hasVisibleName(self)

Test if the object has a distinguishable name.

Returns

hasVisibleNamebool

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

isActualImplementation(self)

Accessor to the validity flag.

Returns

is_implbool

Whether the implementation is valid.

setFiniteDifferenceStep(self, finiteDifferenceStep)

Set the finite difference step.

Parameters

stepFiniteDifferenceStep

Defines how finite difference steps values are computed.

setName(self, name)

Accessor to the object’s name.

Parameters

namestr

The name of the object.

setParameter(self, parameter)

Accessor to the parameter values.

Parameters

parametersequence of float

The parameter values.

setShadowedId(self, id)

Accessor to the object’s shadowed id.

Parameters

idint

Internal unique identifier.

setVisibility(self, visible)

Accessor to the object’s visibility state.

Parameters

visiblebool

Visibility flag.