TrustRegionReflectiveOptimizer Class

public sealed class TrustRegionReflectiveOptimizer : LeastSquaresOptimizer

Public NotInheritable Class TrustRegionReflectiveOptimizer
	Inherits LeastSquaresOptimizer

public ref class TrustRegionReflectiveOptimizer sealed : public LeastSquaresOptimizer

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

Inheritance

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

Use the TrustRegionReflectiveOptimizer class to optimize a function that is a sum or weighted sum of squares of functions. This optimizer tends to work somewhat better than the LevenbergMarquardtOptimizer class when the problem is bounded.

The TrustRegionReflectiveOptimizer class inherits from the LeastSquaresOptimizer class.

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