AbstractQuasi-Newton method is a well-known effective method for solving optimization problems. Since it is a line search method, which needs a line search procedure after determining a search direction at each iteration, we must decide a line search rule to choose a step size along a search direction. In this paper, we propose a new inexact line search rule for quasi-Newton method and establish some global convergent results of this method. These results are useful in designing new quasi-Newton methods. Moreover, we analyze the convergence rate of quasi-Newton method with the new line search rule
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
summary:A survey note whose aim is to establish the heuristics and natural relations in a class of Q...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...
AbstractQuasi-Newton method is a well-known effective method for solving optimization problems. Sinc...
AbstractConjugate gradient methods are conjugate direction or gradient deflection methods which lie ...
In this paper, on the basis of the DFP method a class of non-quasi-Newton methods is presented. Unde...
We propose a new inexact line search rule and analyze the global convergence and convergence rate of...
In this paper, we investigate quasi-Newton methods for solving unconstrained optimization problems. ...
Newton's method plays a central role in the development of numerical techniques for optimizatio...
Newton's method plays a central role in the development of numerical techniques for optimization. In...
Abstract In this paper, non-monotone line search procedure is studied, which is combined with the no...
The inexact quasi-Newton methods are very attractive methods for large scale optimization since they...
International audienceQuasi-Newton methods refer to a class of algorithms at the interface between f...
summary:A survey note whose aim is to establish the heuristics and natural relations in a class of Q...
Quasi-Newton methods are very popular in Optimization. They have a long, rich history, and perform e...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
summary:A survey note whose aim is to establish the heuristics and natural relations in a class of Q...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...
AbstractQuasi-Newton method is a well-known effective method for solving optimization problems. Sinc...
AbstractConjugate gradient methods are conjugate direction or gradient deflection methods which lie ...
In this paper, on the basis of the DFP method a class of non-quasi-Newton methods is presented. Unde...
We propose a new inexact line search rule and analyze the global convergence and convergence rate of...
In this paper, we investigate quasi-Newton methods for solving unconstrained optimization problems. ...
Newton's method plays a central role in the development of numerical techniques for optimizatio...
Newton's method plays a central role in the development of numerical techniques for optimization. In...
Abstract In this paper, non-monotone line search procedure is studied, which is combined with the no...
The inexact quasi-Newton methods are very attractive methods for large scale optimization since they...
International audienceQuasi-Newton methods refer to a class of algorithms at the interface between f...
summary:A survey note whose aim is to establish the heuristics and natural relations in a class of Q...
Quasi-Newton methods are very popular in Optimization. They have a long, rich history, and perform e...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
summary:A survey note whose aim is to establish the heuristics and natural relations in a class of Q...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...