Permutation of Sparse Matrices to a Specific Lower BTF using Graph Decompositions

Autores/as

  • Ignacio Ponzoni Universidad Nacional del Sur, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
  • Mabel C. Sánchez Universidad Nacional del Sur, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
  • Nélida B. Brignole Universidad Nacional del Sur, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina

Palabras clave:

graph theory, directed graphs, bipartite graphs, sparse matrices, block lower-triangular forms, assignment algorithms, partitioning algorithms

Resumen

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.

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Publicado

1998-06-01

Cómo citar

Ponzoni, I., Sánchez, M. C., & Brignole, N. B. (1998). Permutation of Sparse Matrices to a Specific Lower BTF using Graph Decompositions. SADIO Electronic Journal of Informatics and Operations Research, 1, 76-87. https://revistas.unlp.edu.ar/ejs/article/view/17503