Optimizationleastsq_levm Method

public static RetArray<double> leastsq_levm(
	OptimizationObjectiveFunction<double> objfunc,
	InArray<double> x0,
	OptimizationDerivativeFunction<double> jacobianFunc = null,
	int maxIter = 200,
	OutArray<double> Fx = null,
	OutArray<double> iterations = null,
	OutArray<int> iterationCount = null,
	OutArray<double> gradientNorm = null,
	OutArray<int> nFct = null,
	double tol = 1E-08,
	double tolf = 1E-08
)

Public Shared Function leastsq_levm ( 
	objfunc As OptimizationObjectiveFunction(Of Double),
	x0 As InArray(Of Double),
	Optional jacobianFunc As OptimizationDerivativeFunction(Of Double) = Nothing,
	Optional maxIter As Integer = 200,
	Optional Fx As OutArray(Of Double) = Nothing,
	Optional iterations As OutArray(Of Double) = Nothing,
	Optional iterationCount As OutArray(Of Integer) = Nothing,
	Optional gradientNorm As OutArray(Of Double) = Nothing,
	Optional nFct As OutArray(Of Integer) = Nothing,
	Optional tol As Double = 1E-08,
	Optional tolf As Double = 1E-08
) As RetArray(Of Double)

Dim objfunc As OptimizationObjectiveFunction(Of Double)
Dim x0 As InArray(Of Double)
Dim jacobianFunc As OptimizationDerivativeFunction(Of Double)
Dim maxIter As Integer
Dim Fx As OutArray(Of Double)
Dim iterations As OutArray(Of Double)
Dim iterationCount As OutArray(Of Integer)
Dim gradientNorm As OutArray(Of Double)
Dim nFct As OutArray(Of Integer)
Dim tol As Double
Dim tolf As Double
Dim returnValue As RetArray(Of Double)

returnValue = Optimization.leastsq_levm(objfunc, 
	x0, jacobianFunc, maxIter, Fx, iterations, 
	iterationCount, gradientNorm, nFct, 
	tol, tolf)