Uses of Interface
de.torstennahm.integrate.error.ErrorEstimator

Packages that use ErrorEstimator

de.torstennahm.integrate.error	Provides classes used for estimating the remaining error of the integral value during integration.
de.torstennahm.integrate.sparse	This package provides routines for multi-dimensional integration using the sparse grid algorithm and its adaptive version.

Uses of ErrorEstimator in de.torstennahm.integrate.error

Classes in de.torstennahm.integrate.error that implement ErrorEstimator

class	ConvergenceEstimator Provides an estimate based on the assumption that the integral values shows logarithmic convergence.
class	FastConvergenceEstimator Provides an estimate based on the assumption that the integral values shows logarithmic convergence.
class	IterativeConvergenceEstimator Provides an estimate based on the assumption that the integral values shows logarithmic convergence.
class	RandomWalkEstimator Models the integration as a random walk with decreasing variation per step.
class	RoundingErrorEstimator Estimates the error caused by floating point rounding errors.
class	SimpleEstimator Provides a very simple estimate of the integration error.

Uses of ErrorEstimator in de.torstennahm.integrate.sparse

Fields in de.torstennahm.integrate.sparse declared as ErrorEstimator

protected ErrorEstimator

EstimateIntegrator.InternalIntegrator.estimator