Product or sum with transposed matrix: what is best for unsymmetric sparse matrix compression

  • Authors:
  • M. M. Stabrowski

  • Affiliations:
  • Department of Electrical Engineering, Lublin University of Technology, Katedra Informatyki, Nadbystrycka 36b, Lublin PL 20618, Poland

  • Venue:
  • Advances in Engineering Software
  • Year:
  • 2004

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Abstract

Object-oriented software for sparse matrix compression is briefly presented. Two approaches to unsymmetric sparse matrix compression are investigated. The first determines row reordering using the sum of original and transposed matrix. The second method uses the product of original and transposed matrix. Both methods are comprehensively compared using assorted matrices derived from engineering applications. These tests prove that best results are obtained, practically always, with the aid of 'summation' method.