NonLinearFit2LEVMAR_DIF Method

public static int LEVMAR_DIF(
	NonLinearFit2FitFunction func,
	double[] p,
	double[] x,
	int itmax,
	double[] opts,
	double[] info,
	ref Object workingmemory,
	double[] covar,
	Object adata
)

Parameters

func  NonLinearFit2FitFunction

Functional relation describing measurements. A p in R^m yields an estimated \hat{x} in R^n.

p  Double

On input: initial parameter estimates. On output: the estimated solution.

x  Double

Measurement vector.

itmax  Int32

Maximum number of iterations.

opts  Double

Options [μ, ε1, ε2, ε3, δ]. Respectively the scale factor for the initial μ, stopping thresholds for ||J^T e||_∞, ||Dp||_2, and ||e||_2, and the step δ used for the Jacobian approximation. If δ < 0, central differences are used (more accurate but slower).

info  Double

Information regarding the minimization; see LEVMAR_DER(NonLinearFit2FitFunction, NonLinearFit2JacobianFunction, Double, Double, Double, Int32, Double, Double, Object, Double, Object) for layout.

workingmemory  Object

Working memory object (reuse between calls); allocated if .

covar  Double

Covariance matrix (m×m) corresponding to the LS solution; can be if not needed.

adata  Object

Optional additional data passed through to func.

Return Value

Reference