A parallel computation model to invert a lower triangular matrix using Gauss elimination with sweeping technique is presented. Performance characteristics that we obtain are O(n) time and O(n(2)) processors leading to an efficiency of O(1/n). A comparative performance study with the available fastest parallel matrix inversion algorithms is given. We believe that the method presented here is superior over the existing methods in efficiency measure and in processor complexity
(eng) This paper presents a parallel out-of-core algorithm to invert huge matrices, that is when siz...
A parallel algorithm for finding the inverse of the matrix using Gauss Jordan method in OpenMP. The ...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
The performance of a parallel Gauss-Jordan matrix inversion algorithm on the Mark II hypercube3 at C...
AbstractIn this paper, a variant of Gaussian Elimination (GE) called Successive Gaussian Elimination...
Abstract:- A matrix inversion algorithm based on the Sherman-Morrison formula is analyzed and compar...
We study the use of massively parallel architectures for computing a matrix inverse. Two different ...
International audienceThis paper introduces a graph-theoretic approach to analyse the performances o...
none4Dense matrix inversion is a basic procedure in many linear algebra algorithms. A com...
In this work an algorithm for solving triangular systems of equations for multiple right hand sides ...
In this paper, we present techniques for inverting sparse, symmetric and positive definite matrices ...
inversion of quasiseparable-Hessenberg-Vandermonde ma-trices T.Bella, Y.Eidelman, I.Gohberg, V.Olshe...
In this paper, an F'F'GA implementation of a novel and highly scalable hardware architecture for fas...
Triangular matrix decompositions are fundamental building blocks in computational linear algebra. Th...
An extremely common bottleneck encountered in statistical learning algorithms is inversion of huge c...
(eng) This paper presents a parallel out-of-core algorithm to invert huge matrices, that is when siz...
A parallel algorithm for finding the inverse of the matrix using Gauss Jordan method in OpenMP. The ...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
The performance of a parallel Gauss-Jordan matrix inversion algorithm on the Mark II hypercube3 at C...
AbstractIn this paper, a variant of Gaussian Elimination (GE) called Successive Gaussian Elimination...
Abstract:- A matrix inversion algorithm based on the Sherman-Morrison formula is analyzed and compar...
We study the use of massively parallel architectures for computing a matrix inverse. Two different ...
International audienceThis paper introduces a graph-theoretic approach to analyse the performances o...
none4Dense matrix inversion is a basic procedure in many linear algebra algorithms. A com...
In this work an algorithm for solving triangular systems of equations for multiple right hand sides ...
In this paper, we present techniques for inverting sparse, symmetric and positive definite matrices ...
inversion of quasiseparable-Hessenberg-Vandermonde ma-trices T.Bella, Y.Eidelman, I.Gohberg, V.Olshe...
In this paper, an F'F'GA implementation of a novel and highly scalable hardware architecture for fas...
Triangular matrix decompositions are fundamental building blocks in computational linear algebra. Th...
An extremely common bottleneck encountered in statistical learning algorithms is inversion of huge c...
(eng) This paper presents a parallel out-of-core algorithm to invert huge matrices, that is when siz...
A parallel algorithm for finding the inverse of the matrix using Gauss Jordan method in OpenMP. The ...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...