
Throughout the analysis of LSI and VLSI circuits, one must deal with very large sets of sparse linear equations. In solving such sets of equations, a significant saving in computational effort can be obtained if the structure of the system matrix is considered. In this paper we present an algorithm which reorders a sparse matrix to a sparse blocked form. We note that nested cellular arrays can be used in solving equations with such blocked coefficient matrices.
Computational methods for sparse matrices, Graphs and linear algebra (matrices, eigenvalues, etc.), bipartite graph, Other matrix algorithms, sparse blocked form, LSI circuits, reordering a sparse matrix, VLSI circuits, computational effort, reordering algorithm
Computational methods for sparse matrices, Graphs and linear algebra (matrices, eigenvalues, etc.), bipartite graph, Other matrix algorithms, sparse blocked form, LSI circuits, reordering a sparse matrix, VLSI circuits, computational effort, reordering algorithm
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