Add to ORKGAbstract: A new weighted multi-update conjugate gradient method is pro-posed for unconstrained optimization which is considered as memoryless vari-able metric methods. It is derived for inexact line searches and evaluated numer-ically against Shanno’s two memoryless quasi-Newton methods. The numerical results indicate that, in general, the new method is numerically superior to Shanno’s methods. AMS Subject Classification: 65K10 Key Words: unconstrained optimization, conjugate gradient methods, vari
: It is proved that the new conjugate gradient method proposed by Dai and Yuan [5] produces a descen...
In this paper, we seek the conjugate gradient direction closest to the direction of the scaled memor...
This thesis focuses on solving conjugate gradient methods for large-scale uncon- strained optimiza...
In this paper, a new conjugate gradient method is proposed for large-scale unconstrained o...
The primarily objective of this paper which is indicated in the field of conjugate gradient algorith...
Available from British Library Document Supply Centre- DSC:D88794 / BLDSC - British Library Document...
AbstractNew accelerated nonlinear conjugate gradient algorithms which are mainly modifications of Da...
The key feature for conjugate gradient methods is a conjugate parameter optimal for solving unrestra...
AbstractConjugate gradient methods are conjugate direction or gradient deflection methods which lie ...
. Conjugate gradient methods are widely used for unconstrained optimization, especially large scale ...
Abstract In this paper, based on a new quasi-Newton equation and the conjugacy condition, we propose...
Conjugate gradient methods (CG) are an important class of methods for solving unconstrained optimiza...
In this paper, a modified conjugate gradient method is presented for solving large-scale unconstrain...
The conjugate gradient method is very effective in solving large-scale unconstrained optimal problem...
AbstractA modified conjugate gradient method is presented for solving unconstrained optimization pro...
: It is proved that the new conjugate gradient method proposed by Dai and Yuan [5] produces a descen...
In this paper, we seek the conjugate gradient direction closest to the direction of the scaled memor...
This thesis focuses on solving conjugate gradient methods for large-scale uncon- strained optimiza...
In this paper, a new conjugate gradient method is proposed for large-scale unconstrained o...
The primarily objective of this paper which is indicated in the field of conjugate gradient algorith...
Available from British Library Document Supply Centre- DSC:D88794 / BLDSC - British Library Document...
AbstractNew accelerated nonlinear conjugate gradient algorithms which are mainly modifications of Da...
The key feature for conjugate gradient methods is a conjugate parameter optimal for solving unrestra...
AbstractConjugate gradient methods are conjugate direction or gradient deflection methods which lie ...
. Conjugate gradient methods are widely used for unconstrained optimization, especially large scale ...
Abstract In this paper, based on a new quasi-Newton equation and the conjugacy condition, we propose...
Conjugate gradient methods (CG) are an important class of methods for solving unconstrained optimiza...
In this paper, a modified conjugate gradient method is presented for solving large-scale unconstrain...
The conjugate gradient method is very effective in solving large-scale unconstrained optimal problem...
AbstractA modified conjugate gradient method is presented for solving unconstrained optimization pro...
: It is proved that the new conjugate gradient method proposed by Dai and Yuan [5] produces a descen...
In this paper, we seek the conjugate gradient direction closest to the direction of the scaled memor...
This thesis focuses on solving conjugate gradient methods for large-scale uncon- strained optimiza...