A new partitioning algorithm that permutes sparse matrices to a specific block lower-triangular form (BlTF) complying with special features required for instrumentation problems is presented. The proposal consists in the decomposition of the occurrence matrix in two stages, using methodologies based on graph theory. First of all, Hopcroft-Karp´s algorithm is employed to match the vertices, this classification being carried out by means of a modification of Dulmage-Mendelsohn´s technique, which was devised by the authors. The second step is the application of Tarjan´s algorithm to the square blocks obtained as a result of the first stage.Sociedad Argentina de Informática e Investigación Operativ
The thesis is about graph partitioning and applications of graph partitioning in paral- lel algorith...
International audienceWe investigate one dimensional partitioning of sparse matrices under a given o...
Abstract. This paper generalizes to the nonlinear case a standard way to solve general sparse system...
We consider the problem of permuting the rows and columns of a rectangular or square, unsymmetric sp...
This work investigates the problem of permuting a sparse rectangular matrix into block diagonal form...
AbstractA recent approach for solving sparse triangular systems of equations on massively parallel c...
In this whitepaper, we describe the problem of permuting sparse square matrices into block diagonal ...
In this thesis we will present an effective method for solving systems of linear equations with larg...
Many problems appearing in scientific computing and other areas can be formulated as a graph parti...
A common operation in scientific computing is the multiplication of a sparse, rectangular or structu...
This HDR investigates three classes of problems at the interplay of discrete algorithms, combinatori...
Полный текст статьи можно найти по адресу: http://scitation.aip.org/content/aip/proceeding/aipcp/10...
Graph partitioning is a fundamental problem in several scientific and engineering applications. In t...
This book presents the results of the research of the sparse underdetermined systems of linear algeb...
The solution of large-scale chemical process simulation and optimization problems using parallel com...
The thesis is about graph partitioning and applications of graph partitioning in paral- lel algorith...
International audienceWe investigate one dimensional partitioning of sparse matrices under a given o...
Abstract. This paper generalizes to the nonlinear case a standard way to solve general sparse system...
We consider the problem of permuting the rows and columns of a rectangular or square, unsymmetric sp...
This work investigates the problem of permuting a sparse rectangular matrix into block diagonal form...
AbstractA recent approach for solving sparse triangular systems of equations on massively parallel c...
In this whitepaper, we describe the problem of permuting sparse square matrices into block diagonal ...
In this thesis we will present an effective method for solving systems of linear equations with larg...
Many problems appearing in scientific computing and other areas can be formulated as a graph parti...
A common operation in scientific computing is the multiplication of a sparse, rectangular or structu...
This HDR investigates three classes of problems at the interplay of discrete algorithms, combinatori...
Полный текст статьи можно найти по адресу: http://scitation.aip.org/content/aip/proceeding/aipcp/10...
Graph partitioning is a fundamental problem in several scientific and engineering applications. In t...
This book presents the results of the research of the sparse underdetermined systems of linear algeb...
The solution of large-scale chemical process simulation and optimization problems using parallel com...
The thesis is about graph partitioning and applications of graph partitioning in paral- lel algorith...
International audienceWe investigate one dimensional partitioning of sparse matrices under a given o...
Abstract. This paper generalizes to the nonlinear case a standard way to solve general sparse system...