Add to ORKGAbstract:- A matrix inversion algorithm based on the Sherman-Morrison formula is analyzed and compared with the classical Gauss-Jordan algorithm. In particular the results obtained in a Cray T3-E by the parallel versions of both algorithms are compared. Key-Words:- Sherman-Morrison formula, matrix inversion, Parallel algorithms, Cray T3-E
An extremely common bottleneck encountered in statistical learning algorithms is inversion of huge c...
The thesis is concerned with the inversion of matrices and the solution of linear systems and eigens...
New algorithms are presented about the principal square root of an n×n matrix A. In particular, all ...
2nonenoneMARTINEZ CALOMARDO ANGELES; Mas JoséMARTINEZ CALOMARDO, Angeles; Mas, Jos
The Sherman--Morrison formula is one scheme for computing the approximate inverse preconditioner of ...
The performance of a parallel Gauss-Jordan matrix inversion algorithm on the Mark II hypercube3 at C...
AbstractAn approach to preconditioning linear systems is presented, which is well suitable for paral...
A parallel algorithm for finding the inverse of the matrix using Gauss Jordan method in OpenMP. The ...
After a general discussion of matrix norms and digital operations, matrix inversion procedures based...
An essentially new method for the inversion of n x n matrices, closely related to the method of comp...
This paper describes a data parallel algorithm for the inversion of polynomial matrix using evaluati...
A parallel computation model to invert a lower triangular matrix using Gauss elimination with sweepi...
AbstractWe study linear complexity inversion algorithms for diagonal plus semiseparable operator mat...
The inversion of matrices was calculated on a single transputer and on a network of transputers to s...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
An extremely common bottleneck encountered in statistical learning algorithms is inversion of huge c...
The thesis is concerned with the inversion of matrices and the solution of linear systems and eigens...
New algorithms are presented about the principal square root of an n×n matrix A. In particular, all ...
2nonenoneMARTINEZ CALOMARDO ANGELES; Mas JoséMARTINEZ CALOMARDO, Angeles; Mas, Jos
The Sherman--Morrison formula is one scheme for computing the approximate inverse preconditioner of ...
The performance of a parallel Gauss-Jordan matrix inversion algorithm on the Mark II hypercube3 at C...
AbstractAn approach to preconditioning linear systems is presented, which is well suitable for paral...
A parallel algorithm for finding the inverse of the matrix using Gauss Jordan method in OpenMP. The ...
After a general discussion of matrix norms and digital operations, matrix inversion procedures based...
An essentially new method for the inversion of n x n matrices, closely related to the method of comp...
This paper describes a data parallel algorithm for the inversion of polynomial matrix using evaluati...
A parallel computation model to invert a lower triangular matrix using Gauss elimination with sweepi...
AbstractWe study linear complexity inversion algorithms for diagonal plus semiseparable operator mat...
The inversion of matrices was calculated on a single transputer and on a network of transputers to s...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
An extremely common bottleneck encountered in statistical learning algorithms is inversion of huge c...
The thesis is concerned with the inversion of matrices and the solution of linear systems and eigens...
New algorithms are presented about the principal square root of an n×n matrix A. In particular, all ...