LevenbergMarquardtMinimizerMinimum Method

public NonlinearMinimizationResult Minimum(
	IObjectiveModel objective,
	Vector<double> initialGuess,
	Vector<double> lowerBound = null,
	Vector<double> upperBound = null,
	Vector<double> scales = null,
	List<bool> isFixed = null,
	double initialMu = 0,001,
	double gradientTolerance = 1E-15,
	double stepTolerance = 1E-15,
	double functionTolerance = 1E-15,
	int maximumIterations = -1
)

Parameters

objective  IObjectiveModel

The objective function, including model, observations, and parameter bounds.

initialGuess  VectorDouble

The initial guess values.

lowerBound  VectorDouble  (Optional)

The optional lower bounds for the parameters.

upperBound  VectorDouble  (Optional)

The optional upper bounds for the parameters.

scales  VectorDouble  (Optional)

The optional parameter scaling factors.

isFixed  ListBoolean  (Optional)

Optional flags indicating which parameters are fixed.

initialMu  Double  (Optional)

The initial damping parameter of mu.

gradientTolerance  Double  (Optional)

The stopping threshold for infinity norm of the gradient vector.

stepTolerance  Double  (Optional)

The stopping threshold for L2 norm of the change of parameters.

functionTolerance  Double  (Optional)

The stopping threshold for L2 norm of the residuals.

maximumIterations  Int32  (Optional)

The max iterations.

Return Value

Reference