AbstractIn this paper, we develop a new nonmonotone line search for general line search method and establish some global convergence theorems. The new nonmonotone line search is a novel form of the nonmonotone Armijo line search and allows one to choose a larger step size at each iteration, which is available in constructing new line search methods and possibly reduces the function evaluations at each iteration. Moreover, we analyze the convergence rate of some special line search methods with the new line search. Preliminary numerical results show that some line search methods with the new nonmonotone line search are available and efficient in practical computation
We propose a new inexact line search rule and analyze the global convergence and convergence rate of...
A framework for proving global convergence for a class of line search filter-type methods for nonlin...
We discuss the convergence of line search methods for minimization. We explain how Newton's method a...
AbstractIn this paper, we propose a new nonmonotone line search technique for unconstrained optimiza...
Abstract. An efficient descent method for unconstrained optimization problems is line search method ...
By using the forcing function, we proposed a general form of nonmonotone line search technique for ...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...
In this paper we develop a general convergence theory for nonmonotone line searches in optimization ...
AbstractIn this paper, we propose a new nonmonotone line search technique for unconstrained optimiza...
AbstractGlobal convergence results are established for unconstrained optimization algorithms that ut...
AbstractThis paper concerns a nonmonotone line search technique and its application to the trust reg...
We present a new iterative method based on the line search filter method with the nonmonotone strate...
. This paper gives a unifying, abstract generalization of pattern search methods for solving nonline...
AbstractIn this paper, we propose a new nonmonotone Armijo type line search and prove that the MBFGS...
Abstract In this paper, non-monotone line search procedure is studied, which is combined with the no...
We propose a new inexact line search rule and analyze the global convergence and convergence rate of...
A framework for proving global convergence for a class of line search filter-type methods for nonlin...
We discuss the convergence of line search methods for minimization. We explain how Newton's method a...
AbstractIn this paper, we propose a new nonmonotone line search technique for unconstrained optimiza...
Abstract. An efficient descent method for unconstrained optimization problems is line search method ...
By using the forcing function, we proposed a general form of nonmonotone line search technique for ...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...
In this paper we develop a general convergence theory for nonmonotone line searches in optimization ...
AbstractIn this paper, we propose a new nonmonotone line search technique for unconstrained optimiza...
AbstractGlobal convergence results are established for unconstrained optimization algorithms that ut...
AbstractThis paper concerns a nonmonotone line search technique and its application to the trust reg...
We present a new iterative method based on the line search filter method with the nonmonotone strate...
. This paper gives a unifying, abstract generalization of pattern search methods for solving nonline...
AbstractIn this paper, we propose a new nonmonotone Armijo type line search and prove that the MBFGS...
Abstract In this paper, non-monotone line search procedure is studied, which is combined with the no...
We propose a new inexact line search rule and analyze the global convergence and convergence rate of...
A framework for proving global convergence for a class of line search filter-type methods for nonlin...
We discuss the convergence of line search methods for minimization. We explain how Newton's method a...