LevenbergMarquardtOptimizer Class

public sealed class LevenbergMarquardtOptimizer : LeastSquaresOptimizer

Public NotInheritable Class LevenbergMarquardtOptimizer
	Inherits LeastSquaresOptimizer

public ref class LevenbergMarquardtOptimizer sealed : public LeastSquaresOptimizer

[<SealedAttribute>]
type LevenbergMarquardtOptimizer = 
    class
        inherit LeastSquaresOptimizer
    end

Inheritance

Object  →  ManagedIterativeAlgorithm<Vector<Double>, Double, SolutionReport<Vector<Double>, Double>>  →  ManagedIterativeAlgorithm<Vector<Double>>  →  LeastSquaresOptimizer  →  LevenbergMarquardtOptimizer

Use the LevenbergMarquardtOptimizer class to optimize a function that is a sum or weighted sum of squares of functions.

To verify that the algorithm terminated normally, you can inspect the Status property, which is of type AlgorithmStatus. A value of Converged indicates that the algorithm terminated normally. However, it is still possible that the algorithm didn't converge to the actual best fit. A visual inspection is always recommended.

Reference