NonlinearLSQOptions Class Reference

Pass options to nonlinearLeastSquares(). More...

#include <vigra/regression.hxx>

Public Member Functions
NonlinearLSQOptions &	dampingParamters (double lambda, double v)
	Set damping parameters for Levenberg-Marquardt algorithm. More...
NonlinearLSQOptions &	maxIterations (int iter)
	Set maximum number of iterations. More...
	NonlinearLSQOptions ()
	Initialize options with default values.
NonlinearLSQOptions &	tolerance (double eps)
	Set minimum relative improvement in residual. More...

Detailed Description

Pass options to nonlinearLeastSquares().

#include <vigra/regression.hxx> Namespace: vigra

Member Function Documentation

NonlinearLSQOptions& tolerance

(

double

eps

)

Set minimum relative improvement in residual.

The algorithm stops when the relative improvement in residuals between consecutive iterations is less than this value.

Default: 0 (i.e. choose tolerance automatically, will be 10*epsilon of the numeric type)

NonlinearLSQOptions& maxIterations

(

int

iter

)

Set maximum number of iterations.

Default: 50

NonlinearLSQOptions& dampingParamters	(	double	lambda,
		double	v
	)

Set damping parameters for Levenberg-Marquardt algorithm.

lambda determines by how much the diagonal is emphasized, and v is the factor by which lambda will be increased if more damping is needed for convergence (see Wikipedia for more explanations).

Default: lambda = 0.1, v = 1.4

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The documentation for this class was generated from the following file:

• vigra/regression.hxx