AbstractWe present a parametrized class of matrices for which the rate of convergence of the conjugate gradient method varies greatly with the parameter and does not appreciably depend on the algorithm implementation. A small change in the eigenvalue distribution can lead to a large change in the sensitivity of CG to rounding errors. A theorem is proved which gives a necessary and sufficient condition for ordering exact arithmetic CG processes for systems with different spectra according to the energy norm of the error. Theorems 4.1 and 4.2 continue Paige's and Greenbaum's work
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
AbstractWe present a parametrized class of matrices for which the rate of convergence of the conjuga...
Conjugate Gradient (CG) method is often used to solve a positive definite linear system Ax = b. Exis...
In this paper, the convergence analysis of the conventional conjugate Gradient method was reviewed. ...
In this paper we consider computing estimates of the norm of the error in the conjugate gradient (CG...
AbstractWe perform the rounding-error analysis of the conjugate-gradient algorithms for the solution...
Abstract. This short note is on the derivation and convergence of a popular algorithm for minimizati...
In their paper published in 1952, Hestenes and Stiefel considered the conjugate gradient (CG) method...
AbstractThe Conjugate Gradient Squared (CGS) is an iterative method for solving nonsymmetric linear ...
Abstract. In this paper we derive a formula relating the norm of the l2 error to the A–norm of the e...
AbstractThe usual estimates for conjugate gradients (CG) specify a non trivial rate of convergence r...
A modified conjugate gradient algorithm is proposed which uses a gradient average window to pro-vide...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
AbstractWe present a parametrized class of matrices for which the rate of convergence of the conjuga...
Conjugate Gradient (CG) method is often used to solve a positive definite linear system Ax = b. Exis...
In this paper, the convergence analysis of the conventional conjugate Gradient method was reviewed. ...
In this paper we consider computing estimates of the norm of the error in the conjugate gradient (CG...
AbstractWe perform the rounding-error analysis of the conjugate-gradient algorithms for the solution...
Abstract. This short note is on the derivation and convergence of a popular algorithm for minimizati...
In their paper published in 1952, Hestenes and Stiefel considered the conjugate gradient (CG) method...
AbstractThe Conjugate Gradient Squared (CGS) is an iterative method for solving nonsymmetric linear ...
Abstract. In this paper we derive a formula relating the norm of the l2 error to the A–norm of the e...
AbstractThe usual estimates for conjugate gradients (CG) specify a non trivial rate of convergence r...
A modified conjugate gradient algorithm is proposed which uses a gradient average window to pro-vide...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...
A conjugate gradient (CG)-type algorithm CG Plan is introduced for calculating an approximate soluti...