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
The focus for quasi-Newton methods is the quasi-Newton equation. A new quasi-Newton equation is deri...
Abstract In this paper, the algorithm for large-scale nonlinear equations is designed by the followi...
In this paper, we investigate quasi-Newton methods for solving unconstrained optimization problems. ...
AbstractQuasi-Newton method is a well-known effective method for solving optimization problems. Sinc...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...
Abstract. An efficient descent method for unconstrained optimization problems is line search method ...
Abstract In this paper, non-monotone line search procedure is studied, which is combined with the no...
International audienceQuasi-Newton methods refer to a class of algorithms at the interface between f...
The inexact quasi-Newton methods are very attractive methods for large scale optimization since they...
Among the quasi-Newton algorithms, the BFGS method is often discussed by related scholars. However, ...
Newton's method plays a central role in the development of numerical techniques for optimizatio...
Quasi-Newton methods are very popular in Optimization. They have a long, rich history, and perform e...
Newton's method plays a central role in the development of numerical techniques for optimization. In...
Over the past twelve years, multi-step quasi-Newton methods for the unconstrained optimization of a ...
Quasi-Newton methods are a class of numerical methods for solving the problem of unconstrained optim...
The focus for quasi-Newton methods is the quasi-Newton equation. A new quasi-Newton equation is deri...
Abstract In this paper, the algorithm for large-scale nonlinear equations is designed by the followi...
In this paper, we investigate quasi-Newton methods for solving unconstrained optimization problems. ...
AbstractQuasi-Newton method is a well-known effective method for solving optimization problems. Sinc...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...
Abstract. An efficient descent method for unconstrained optimization problems is line search method ...
Abstract In this paper, non-monotone line search procedure is studied, which is combined with the no...
International audienceQuasi-Newton methods refer to a class of algorithms at the interface between f...
The inexact quasi-Newton methods are very attractive methods for large scale optimization since they...
Among the quasi-Newton algorithms, the BFGS method is often discussed by related scholars. However, ...
Newton's method plays a central role in the development of numerical techniques for optimizatio...
Quasi-Newton methods are very popular in Optimization. They have a long, rich history, and perform e...
Newton's method plays a central role in the development of numerical techniques for optimization. In...
Over the past twelve years, multi-step quasi-Newton methods for the unconstrained optimization of a ...
Quasi-Newton methods are a class of numerical methods for solving the problem of unconstrained optim...
The focus for quasi-Newton methods is the quasi-Newton equation. A new quasi-Newton equation is deri...
Abstract In this paper, the algorithm for large-scale nonlinear equations is designed by the followi...
In this paper, we investigate quasi-Newton methods for solving unconstrained optimization problems. ...