Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where José Mas is active.

Publication


Featured researches published by José Mas.


SIAM Journal on Scientific Computing | 2003

Preconditioning Sparse Nonsymmetric Linear Systems with the Sherman--Morrison Formula

Rafael Bru; Juana Cerdán; José Marín; José Mas

Let Ax=b be a large, sparse, nonsymmetric system of linear equations. A new sparse approximate inverse preconditioning technique for such a class of systems is proposed. We show how the matrix A0-1 - A-1, where A0 is a nonsingular matrix whose inverse is known or easy to compute, can be factorized in the form


Linear Algebra and its Applications | 1996

Nonstationary parallel relaxed multisplitting methods

José Mas; Violeta Migall^'on; José Penadés; Daniel B. Szyld

U\Omega V^T


SIAM Journal on Matrix Analysis and Applications | 1995

Multisplitting Preconditioners Based on Incomplete CholeskiFactorizations

Rafael Bru; Cristina Corral; Angeles Martinez; José Mas

using the Sherman--Morrison formula. When this factorization process is done incompletely, an approximate factorization may be obtained and used as a preconditioner for Krylov iterative methods. For A0=sIn, where In is the identity matrix and s is a positive scalar, the existence of the preconditioner for M-matrices is proved. In addition, some numerical experiments obtained for a representative set of matrices are presented. Results show that our approach is comparable with other existing approximate inverse techniques.


SIAM Journal on Matrix Analysis and Applications | 2010

Improved Balanced Incomplete Factorization

Rafael Bru; José Marín; José Mas; Miroslav Tu ring; ma

Abstract Relaxed nonstationary multisplitting methods are studied for the parallel solution of nonsingular linear systems. Convergence results of the synchronous and asynchronous versions for systems with H -matrices are presented. Computational results of these methods on a shared memory multiprocessor vector computer are reported. These results show that nonstationary methods (synchronous and asynchronous) are better than the standard ones, especially when the matrix of the linear system has a relatively small bandwidth. Moreover, asynchronous versions always behave better than the synchronous ones.


SIAM Journal on Scientific Computing | 2014

Preconditioned Iterative Methods for Solving Linear Least Squares Problems

Rafael Bru; José Marín; José Mas; Miroslav Tůma

Let


Computers & Mathematics With Applications | 2002

Iterative schemes for the neutron diffusion equation

Rafael Bru; D. Genstar; José Marín; G. Verdú; José Mas; Thomas A. Manteuffel

Ax=b


Numerical Linear Algebra With Applications | 2009

Schur complement of general H-matrices

Rafael Bru; Cristina Corral; Isabel Giménez; José Mas

be a linear system where


SIAM Journal on Matrix Analysis and Applications | 1994

An Algorithm for the Single-Input Pole Assignment Problem

Rafael Bru; José Mas; Ana M. Urbano

A


Applied Mathematics Letters | 1995

A PRECONDITIONED CONJUGATE GRADIENT METHOD ON A DISTRIBUTED MEMORY MULTIPROCESSOR

Rafael Bru; Cristina Corral; José Mas

is a symmetric positive definite matrix. Preconditioners for the conjugate gradient method based on multisplittings obtained by incomplete Choleski factorizations of


parallel computing | 1999

Parallel m -step preconditioners for the conjugate gradient method

Cristina Corral; Isabel Giménez; José Marín; José Mas

A

Collaboration


Dive into the José Mas's collaboration.

Top Co-Authors

Avatar

Rafael Bru

Polytechnic University of Valencia

View shared research outputs
Top Co-Authors

Avatar

José Marín

Polytechnic University of Valencia

View shared research outputs
Top Co-Authors

Avatar

Cristina Corral

Polytechnic University of Valencia

View shared research outputs
Top Co-Authors

Avatar

Juana Cerdán

Polytechnic University of Valencia

View shared research outputs
Top Co-Authors

Avatar

Isabel Giménez

Polytechnic University of Valencia

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ana M. Urbano

Polytechnic University of Valencia

View shared research outputs
Top Co-Authors

Avatar

D. Genstar

Polytechnic University of Valencia

View shared research outputs
Top Co-Authors

Avatar

G. Verdú

Polytechnic University of Valencia

View shared research outputs
Top Co-Authors

Avatar

J.M. de Miguel

Technical University of Madrid

View shared research outputs
Researchain Logo
Decentralizing Knowledge