AbstractWe study the global convergence of a two-parameter family of conjugate gradient methods in which the line search procedure is replaced by a fixed formula of stepsize. This character is of significance if the line search is expensive in a particular application. In addition to the convergence results, we present computational results for various conjugate gradient methods without line search including those discussed by Sun and Zhang (Ann. Oper. Res. 103 (2001) 161–173)
In this paper we propose a new line search algorithm that ensures global convergence of the Polak-Ri...
AbstractA modification of the Dai–Yuan conjugate gradient algorithm is proposed. Using exact line se...
Two modified three-term type conjugate gradient algorithms which satisfy both the descent condition ...
10.1016/S0377-0427(02)00416-8Journal of Computational and Applied Mathematics146137-4
Conjugate Gradient methods play an important role in solving unconstrained optimization, especially ...
A global convergence theorem for unconstrained minimization algorithms with an efficient line search...
. Conjugate gradient methods are widely used for unconstrained optimization, especially large scale ...
: It is proved that the new conjugate gradient method proposed by Dai and Yuan [5] produces a descen...
The conjugate gradient (CG) method has played a special role in solving large-scale nonlinear optimi...
Nonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficienc...
Nonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficienc...
Projet PROMATHWe study the convergence of nonlinear conjugate gradient methods without restarts and ...
Conjugate gradient method has been enormously used to solve large scale unconstrained optimization p...
In this paper we propose a new line search algorithm that ensures global convergence of the Polak-Ri...
In this paper we propose a new line search algorithm that ensures global convergence of the Polak-Ri...
In this paper we propose a new line search algorithm that ensures global convergence of the Polak-Ri...
AbstractA modification of the Dai–Yuan conjugate gradient algorithm is proposed. Using exact line se...
Two modified three-term type conjugate gradient algorithms which satisfy both the descent condition ...
10.1016/S0377-0427(02)00416-8Journal of Computational and Applied Mathematics146137-4
Conjugate Gradient methods play an important role in solving unconstrained optimization, especially ...
A global convergence theorem for unconstrained minimization algorithms with an efficient line search...
. Conjugate gradient methods are widely used for unconstrained optimization, especially large scale ...
: It is proved that the new conjugate gradient method proposed by Dai and Yuan [5] produces a descen...
The conjugate gradient (CG) method has played a special role in solving large-scale nonlinear optimi...
Nonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficienc...
Nonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficienc...
Projet PROMATHWe study the convergence of nonlinear conjugate gradient methods without restarts and ...
Conjugate gradient method has been enormously used to solve large scale unconstrained optimization p...
In this paper we propose a new line search algorithm that ensures global convergence of the Polak-Ri...
In this paper we propose a new line search algorithm that ensures global convergence of the Polak-Ri...
In this paper we propose a new line search algorithm that ensures global convergence of the Polak-Ri...
AbstractA modification of the Dai–Yuan conjugate gradient algorithm is proposed. Using exact line se...
Two modified three-term type conjugate gradient algorithms which satisfy both the descent condition ...