A general criterion for the global convergence of the nonlinear conjugate gradient method is established, based on which the global convergence of a new modified three-parameter nonlinear conjugate gradient method is proved under some mild conditions. A large amount of numerical experiments is executed and reported, which show that the proposed method is competitive and alternative. Finally, one engineering example has been analyzed for illustrative purposes
The conjugate gradient (CG) method has played a special role in solving large-scale nonlinear optimi...
Conjugate gradient methods are very important ones for solving nonlinear optimization problems, espe...
Summary. The Generalized Conjugate Gradient method (see [1]) is an iterative method for nonsymmetric...
Conjugate gradient method has been enormously used to solve large scale unconstrained optimization p...
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...
In this paper, a new type nonlinear conjugate gradient method based on the Scale Matrix is derived. ...
summary:Modifications of nonlinear conjugate gradient method are described and tested
AbstractConjugate gradient method is an important and efficient method to solve the unconstrained op...
The primarily objective of this paper which is indicated in the field of conjugate gradient algorith...
Conjugate gradient methods are appealing for large scale nonlinear optimization problems, because th...
Conjugate gradient method (CG), is one of many methods used to solve large scale optimization proble...
AbstractA modified LS nonlinear conjugate gradient method to solve unconstrained optimization proble...
Abstract In this paper, based on a new quasi-Newton equation and the conjugacy condition, we propose...
. Conjugate gradient methods are widely used for unconstrained optimization, especially large scale ...
The conjugate gradient (CG) method has played a special role in solving large-scale nonlinear optimi...
Conjugate gradient methods are very important ones for solving nonlinear optimization problems, espe...
Summary. The Generalized Conjugate Gradient method (see [1]) is an iterative method for nonsymmetric...
Conjugate gradient method has been enormously used to solve large scale unconstrained optimization p...
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...
In this paper, a new type nonlinear conjugate gradient method based on the Scale Matrix is derived. ...
summary:Modifications of nonlinear conjugate gradient method are described and tested
AbstractConjugate gradient method is an important and efficient method to solve the unconstrained op...
The primarily objective of this paper which is indicated in the field of conjugate gradient algorith...
Conjugate gradient methods are appealing for large scale nonlinear optimization problems, because th...
Conjugate gradient method (CG), is one of many methods used to solve large scale optimization proble...
AbstractA modified LS nonlinear conjugate gradient method to solve unconstrained optimization proble...
Abstract In this paper, based on a new quasi-Newton equation and the conjugacy condition, we propose...
. Conjugate gradient methods are widely used for unconstrained optimization, especially large scale ...
The conjugate gradient (CG) method has played a special role in solving large-scale nonlinear optimi...
Conjugate gradient methods are very important ones for solving nonlinear optimization problems, espe...
Summary. The Generalized Conjugate Gradient method (see [1]) is an iterative method for nonsymmetric...