ARAutoUnivariate.ConvergenceTolerance Property

ARAutoUnivariateConvergenceTolerance Property

The tolerance level used to determine convergence of the nonlinear least-squares and maximum likelihood algorithms.

Namespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

public double ConvergenceTolerance { get; set; }

Public Property ConvergenceTolerance As Double
	Get
	Set

public:
property double ConvergenceTolerance {
	double get ();
	void set (double value);
}

member ConvergenceTolerance : float with get, set

Property Value

Type: Double
A double scalar containing the tolerance level used to determine convergence of the nonlinear least-squares and maximum likelihood algorithms. ConvergenceTolerance represents the minimum relative decrease in sum of squares between two iterations required to determine convergence.

Remarks

ConvergenceTolerance must be greater than or equal to 0. By default, ConvergenceTolerance = $10^{-10}$ .

Reference

ARAutoUnivariate Class

Imsl.Stat Namespace