Least-Squares (Model Fitting) Algorithms - MATLAB Simulink The Levenberg-Marquardt method, therefore, uses a search direction that is a cross between the Gauss-Newton direction and the steepest descent direction Another advantage to the Levenberg-Marquardt method is when the Jacobian J is rank-deficient
fsolve - Solve system of nonlinear equations - MATLAB The Levenberg-Marquardt and trust-region methods are based on the nonlinear least-squares algorithms also used in lsqnonlin Use one of these methods if the system may not have a zero
Inverse Kinematics Algorithms - MATLAB Simulink The Levenberg-Marquardt (LM) algorithm variant used in the InverseKinematics class is an error-damped least-squares method The error-damped factor helps to prevent the algorithm from escaping a local minimum
Equation Solving Algorithms - MATLAB Simulink - MathWorks The Levenberg-Marquardt algorithm, therefore, uses a search direction that is a cross between the Gauss-Newton direction and the steepest descent direction For more details, see Levenberg-Marquardt Method in the least squares documentation