Global complexity bound analysis of the Levenberg-Marquardt method for nonsmooth equations and its application to the nonlinear complementarity problem Kenji Ueda and Nobuo Yamashitay We investigate a global complexity bound of the Levenberg-Marquardt Method (LMM) for non-smooth equations F (x) = 0. The global complexity bound is an upper bound to the number of iterations required to get an approximate solution such that ∥∇f(x) ∥ ≤ ϵ, where f is a least square merit function and ϵ is a given positive constant. We show that the bound of the LMM is O(ϵ2). We also show that it is reduced to O(log ϵ1) under some regularity assumption on the generalized Jacobian of F. Furthermore, by applying these results to nonsmooth equations equivalent to...
The paper deals with complementarity problems CP(F), where the underlying function F is assumed to b...
It is known that a nonlinear complementarity problem (NCP) can be reformulated as a semismooth syste...
A family of Least-Change Secant-Update methods for solving nonlinear complementarity problems based ...
summary:In this paper, we discuss the globalization of some kind of modified Levenberg-Marquardt met...
A new algorithm for the solution of large-scale nonlinear complementarity problems is introduced. Th...
In this thesis, we consider the unconstrained minimization problem and its related problems, such as...
The Levenberg-Marquardt algorithm is a classical method for solving nonlinear systems of equations t...
Global methods for nonlinear complementarity problems formulate the problem as a system of nonsmooth...
Two new Levenberg-Marquardt methods for nonsmooth nonlinear complementarity problem
This paper extends the Lagrangian globalization (LG) method to the nonsmooth equation Φ(x)=0 arising...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
It is well-known that the Levenberg–Marquardt method is a good choice for solving nonlinear equation...
Our purpose of this paper is to solve a class of stochastic linear complementarity problems (SLCP) w...
In this research we extend the Levenberg-Marquardt algorithm for approximating zeros of the nonlinea...
International audiencehe Josephy--Newton method for solving a nonlinear complementarity problem cons...
The paper deals with complementarity problems CP(F), where the underlying function F is assumed to b...
It is known that a nonlinear complementarity problem (NCP) can be reformulated as a semismooth syste...
A family of Least-Change Secant-Update methods for solving nonlinear complementarity problems based ...
summary:In this paper, we discuss the globalization of some kind of modified Levenberg-Marquardt met...
A new algorithm for the solution of large-scale nonlinear complementarity problems is introduced. Th...
In this thesis, we consider the unconstrained minimization problem and its related problems, such as...
The Levenberg-Marquardt algorithm is a classical method for solving nonlinear systems of equations t...
Global methods for nonlinear complementarity problems formulate the problem as a system of nonsmooth...
Two new Levenberg-Marquardt methods for nonsmooth nonlinear complementarity problem
This paper extends the Lagrangian globalization (LG) method to the nonsmooth equation Φ(x)=0 arising...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
It is well-known that the Levenberg–Marquardt method is a good choice for solving nonlinear equation...
Our purpose of this paper is to solve a class of stochastic linear complementarity problems (SLCP) w...
In this research we extend the Levenberg-Marquardt algorithm for approximating zeros of the nonlinea...
International audiencehe Josephy--Newton method for solving a nonlinear complementarity problem cons...
The paper deals with complementarity problems CP(F), where the underlying function F is assumed to b...
It is known that a nonlinear complementarity problem (NCP) can be reformulated as a semismooth syste...
A family of Least-Change Secant-Update methods for solving nonlinear complementarity problems based ...