AbstractWe study linear conjugate gradient (CG) methods for large sparse continuation problems. First we show how the CG methods can be incorporated as linear solvers in the context of a continuation method. Next we indicate how the preconditioned generalized minimal residual algorithm may be used to test for simple and multiple bifurcations without solving the bordered linear systems. Sample numerical results are reported. Some concluding remarks concerning the performance of three-term CG methods are given
AbstractThe development of the Lanczos algorithm for finding eigenvalues of large sparse symmetric m...
The biconjugate gradient (BCG) method is the natural generalization of the classical conjugate gradi...
AbstractConjugate gradient type methods are discussed for unsymmetric and inconsistent system of equ...
AbstractWe study linear conjugate gradient (CG) methods for large sparse continuation problems. Firs...
AbstractWe study linear and nonlinear conjugate gradient methods for large sparse continuation probl...
AbstractWe study and develop efficient and versatile Predictor—Corrector continuation methods for la...
AbstractIn this paper, we describe the derivation of the biconjugate residual (BCR) method from the ...
We discuss in this paper a new combination of methods for solving nonlinear boundary value problems ...
We discuss in this paper a new combination of methods for solving nonlinear boundary value problems ...
AbstractThe Conjugate Gradient (CG) method and the Conjugate Residual (CR) method are Krylov subspac...
The biconjugate gradient (BCG) method is the natural generalization of the classical conjugate gradi...
AbstractThe Conjugate Gradient (CG) method and the Conjugate Residual (CR) method are Krylov subspac...
The Biconjugate A-orthogonal residual stabilized method named as BiCORSTAB was proposed by Jing et a...
The Biconjugate A-orthogonal residual stabilized method named as BiCORSTAB was proposed by Jing et a...
The Biconjugate A-orthogonal residual stabilized method named as BiCORSTAB was proposed by Jing et a...
AbstractThe development of the Lanczos algorithm for finding eigenvalues of large sparse symmetric m...
The biconjugate gradient (BCG) method is the natural generalization of the classical conjugate gradi...
AbstractConjugate gradient type methods are discussed for unsymmetric and inconsistent system of equ...
AbstractWe study linear conjugate gradient (CG) methods for large sparse continuation problems. Firs...
AbstractWe study linear and nonlinear conjugate gradient methods for large sparse continuation probl...
AbstractWe study and develop efficient and versatile Predictor—Corrector continuation methods for la...
AbstractIn this paper, we describe the derivation of the biconjugate residual (BCR) method from the ...
We discuss in this paper a new combination of methods for solving nonlinear boundary value problems ...
We discuss in this paper a new combination of methods for solving nonlinear boundary value problems ...
AbstractThe Conjugate Gradient (CG) method and the Conjugate Residual (CR) method are Krylov subspac...
The biconjugate gradient (BCG) method is the natural generalization of the classical conjugate gradi...
AbstractThe Conjugate Gradient (CG) method and the Conjugate Residual (CR) method are Krylov subspac...
The Biconjugate A-orthogonal residual stabilized method named as BiCORSTAB was proposed by Jing et a...
The Biconjugate A-orthogonal residual stabilized method named as BiCORSTAB was proposed by Jing et a...
The Biconjugate A-orthogonal residual stabilized method named as BiCORSTAB was proposed by Jing et a...
AbstractThe development of the Lanczos algorithm for finding eigenvalues of large sparse symmetric m...
The biconjugate gradient (BCG) method is the natural generalization of the classical conjugate gradi...
AbstractConjugate gradient type methods are discussed for unsymmetric and inconsistent system of equ...