Uses of Class
de.labathome.trustconstr.records.FiniteDifferenceOptions

Packages that use FiniteDifferenceOptions

Package	Description
de.labathome.trustconstr
de.labathome.trustconstr.records

Uses of FiniteDifferenceOptions in de.labathome.trustconstr

Methods in de.labathome.trustconstr with parameters of type FiniteDifferenceOptions

Modifier and Type	Method	Description
static Matrix	NumDiff.approxDerivative(BiFunction<Matrix,Object,Matrix> fun, Matrix x0, Matrix f0, FiniteDifferenceOptions options, Object args)	Finite-difference Jacobian of a vector-valued function with extra args.
static double	NumDiff.approxDerivative(DoubleUnaryOperator f, double x0, FiniteDifferenceOptions options)	Finite-difference gradient of a scalar function of a scalar argument.
static Matrix	NumDiff.approxDerivative(Function<Matrix,Matrix> f, Matrix x0, Matrix f0, FiniteDifferenceOptions options)	Finite-difference Jacobian of a vector-valued function.
static double	NumDiff.approxDerivative(ToDoubleFunction<Matrix> f, double x0, double f0, FiniteDifferenceOptions options)	Finite-difference gradient of a scalar function of a scalar argument with a precomputed f0.
static double	NumDiff.approxDerivative(ToDoubleFunction<Matrix> f, double x0, FiniteDifferenceOptions options)	Finite-difference gradient of a ToDoubleFunction of a scalar argument.
static Matrix	NumDiff.approxDerivative(ToDoubleFunction<Matrix> f, Matrix x0, double f0, FiniteDifferenceOptions options)	Finite-difference gradient of a real-valued function of a vector argument.
static LinearOperator	NumDiff.approxDerivativeAsLinearOperator(BiFunction<Matrix,Object,Matrix> fun, Matrix x0, Matrix f0, FiniteDifferenceOptions options, Object args)	Strict scipy approx_derivative(..., as_linear_operator=True) counterpart: returns a matrix-free LinearOperator that applies the FD Jacobian J(x0) * p on demand.
static ApproxDerivativeResult	NumDiff.approxDerivativeFullOutput(BiFunction<Matrix,Object,Matrix> fun, Matrix x0, Matrix f0, FiniteDifferenceOptions options, Object args)	Strict scipy approx_derivative(..., full_output=True) counterpart: returns the FD Jacobian alongside an info dict carrying metadata about the computation.
static Matrix	NumDiff.approxDerivativeWithWorkers(BiFunction<Matrix,Object,Matrix> fun, Matrix x0, Matrix f0, FiniteDifferenceOptions options, Object args, ExecutorService executor)	Strict scipy approx_derivative(..., workers=...) counterpart: computes a dense FD Jacobian column-by-column with the per-column evaluations dispatched in parallel through executor.

Uses of FiniteDifferenceOptions in de.labathome.trustconstr.records

Methods in de.labathome.trustconstr.records that return FiniteDifferenceOptions

Modifier and Type	Method	Description
FiniteDifferenceOptions	FiniteDifferenceOptions.FiniteDifferenceOptionsFactory.build()