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A nested decomposition algorithm for parallel computations of very large sparse systems

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  • D. D. Šiljak
  • A. I. Zečević

Abstract

In this paper we present a generalization of the balanced border block diagonal (BBD) decomposition algorithm, which was developed for the parallel computation of sparse systems of linear equations. The efficiency of the new procedure is substantially higher, and it extends the applicability of the BBD decomposition to extremely large problems. Examples of the decomposition are provided for matrices as large as 250 , 000 × 250 , 000 , and its performance is compared to other sparse decompositions. Applications to the parallel solution of sparse systems are discussed for a variety of engineering problems.

Suggested Citation

  • D. D. Šiljak & A. I. Zečević, 1995. "A nested decomposition algorithm for parallel computations of very large sparse systems," Mathematical Problems in Engineering, Hindawi, vol. 1, pages 1-17, January.
    • Handle: RePEc:hin:jnlmpe:487917
    DOI: 10.1155/S1024123X95000068
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