AbstractA BFGS method, in association with a new backtracking line search technique, is presented for solving symmetric nonlinear equations. The global and superlinear convergences of the given method are established under mild conditions. Preliminary numerical results show that the proposed method is better than the normal technique for the given problems
In this article, a class of nonconvex unconstrained optimization problems is considered. As the Armi...
The BFGS method is one of the most efficient quasi-Newton methods for solving small- and medium-size...
Abstract In this paper, a modified BFGS algorithm is proposed for unconstrained optimization. The pr...
AbstractA BFGS method, in association with a new backtracking line search technique, is presented fo...
A trust-region-based BFGS method is proposed for solving symmetric nonlinear equations. In this give...
Abstract. In this paper, we present a Gauss{Newton-based BFGS method for solving symmetric nonlinear...
AbstractIn this paper, we propose a BFGS trust-region method for solving symmetric nonlinear equatio...
Abstract. In general, when a quasi-Newton method is applied to solve a system of nonlinear equations...
In this paper we present a new line search method known as the HBFGS method, which uses the search d...
Abstract. Since 1965, there has been significant progress in the theoretical study on quasi-Newton m...
2002-2003 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
We suggest a conjugate gradient (CG) method for solving symmetric systems of nonlinear equations wit...
In this article, an enhanced conjugate gradient approach for solving symmetric nonlinear equations i...
Among the quasi-Newton algorithms, the BFGS method is often discussed by related scholars. However, ...
Abstract. In this paper, we propose a descent derivative-free method for solv-ing symmetric nonlinea...
In this article, a class of nonconvex unconstrained optimization problems is considered. As the Armi...
The BFGS method is one of the most efficient quasi-Newton methods for solving small- and medium-size...
Abstract In this paper, a modified BFGS algorithm is proposed for unconstrained optimization. The pr...
AbstractA BFGS method, in association with a new backtracking line search technique, is presented fo...
A trust-region-based BFGS method is proposed for solving symmetric nonlinear equations. In this give...
Abstract. In this paper, we present a Gauss{Newton-based BFGS method for solving symmetric nonlinear...
AbstractIn this paper, we propose a BFGS trust-region method for solving symmetric nonlinear equatio...
Abstract. In general, when a quasi-Newton method is applied to solve a system of nonlinear equations...
In this paper we present a new line search method known as the HBFGS method, which uses the search d...
Abstract. Since 1965, there has been significant progress in the theoretical study on quasi-Newton m...
2002-2003 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
We suggest a conjugate gradient (CG) method for solving symmetric systems of nonlinear equations wit...
In this article, an enhanced conjugate gradient approach for solving symmetric nonlinear equations i...
Among the quasi-Newton algorithms, the BFGS method is often discussed by related scholars. However, ...
Abstract. In this paper, we propose a descent derivative-free method for solv-ing symmetric nonlinea...
In this article, a class of nonconvex unconstrained optimization problems is considered. As the Armi...
The BFGS method is one of the most efficient quasi-Newton methods for solving small- and medium-size...
Abstract In this paper, a modified BFGS algorithm is proposed for unconstrained optimization. The pr...
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