Add to ORKGSummary. The Generalized Conjugate Gradient method (see [1]) is an iterative method for nonsymmetric linear systems. We obtain generalizations of this method for nonlinear systems with nonsymmetric Jacobians. We prove global convergence results. Mathematics Subject Classification (1991): 65H10; 65F10 1
Conjugate gradient methods are very important ones for solving nonlinear optimization problems, espe...
AbstractIn this paper, we propose a family of derivative-free conjugate gradient methods for large-s...
. Conjugate gradient methods are widely used for unconstrained optimization, especially large scale ...
AbstractThe Conjugate Gradient Squared (CGS) is an iterative method for solving nonsymmetric linear ...
AbstractA nonlinear conjugate gradient method has been introduced and analyzed by J.W. Daniel. This ...
Projet PROMATHWe study the convergence of nonlinear conjugate gradient methods without restarts and ...
Conjugate gradient methods are appealing for large scale nonlinear optimization problems, because th...
We suggest a conjugate gradient (CG) method for solving symmetric systems of nonlinear equations wit...
Nonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficienc...
A general criterion for the global convergence of the nonlinear conjugate gradient method is establi...
The conjugate gradient (CG) method has played a special role in solving large-scale nonlinear optimi...
AbstractConjugate gradient type methods are discussed for unsymmetric and inconsistent system of equ...
Conjugate gradient method has been enormously used to solve large scale unconstrained optimization p...
International audienceThe method of conjugate gradients (CG) is widely used for the iterative soluti...
SIGLEAvailable from TIB Hannover: DW 2487 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technis...
Conjugate gradient methods are very important ones for solving nonlinear optimization problems, espe...
AbstractIn this paper, we propose a family of derivative-free conjugate gradient methods for large-s...
. Conjugate gradient methods are widely used for unconstrained optimization, especially large scale ...
AbstractThe Conjugate Gradient Squared (CGS) is an iterative method for solving nonsymmetric linear ...
AbstractA nonlinear conjugate gradient method has been introduced and analyzed by J.W. Daniel. This ...
Projet PROMATHWe study the convergence of nonlinear conjugate gradient methods without restarts and ...
Conjugate gradient methods are appealing for large scale nonlinear optimization problems, because th...
We suggest a conjugate gradient (CG) method for solving symmetric systems of nonlinear equations wit...
Nonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficienc...
A general criterion for the global convergence of the nonlinear conjugate gradient method is establi...
The conjugate gradient (CG) method has played a special role in solving large-scale nonlinear optimi...
AbstractConjugate gradient type methods are discussed for unsymmetric and inconsistent system of equ...
Conjugate gradient method has been enormously used to solve large scale unconstrained optimization p...
International audienceThe method of conjugate gradients (CG) is widely used for the iterative soluti...
SIGLEAvailable from TIB Hannover: DW 2487 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technis...
Conjugate gradient methods are very important ones for solving nonlinear optimization problems, espe...
AbstractIn this paper, we propose a family of derivative-free conjugate gradient methods for large-s...
. Conjugate gradient methods are widely used for unconstrained optimization, especially large scale ...