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Three mysteries of Gaussian elimination

Published:01 October 1985Publication History
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Abstract

If numerical analysts understand anything, surely it must be Gaussian elimination. This is the oldest and truest of numerical algorithms. To be precise, I am speaking of Gaussian elimination with partial pivoting, the universal method for solving a dense, unstructured n X n linear system of equations Ax = b on a serial computer. This algorithm has been so successful that to many of us, Gaussian elimination and Ax = b are more or less synonymous. The chapter headings in the book by Golub and Van Loan [3] are typical -- along with "Orthogonalization and Least Squares Methods," "The Symetric Eigenvalue Problem," and the rest, one finds "Gaussian Elimination," not "Linear Systems of Equations."

References

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    • Published in

      cover image ACM SIGNUM Newsletter
      ACM SIGNUM Newsletter  Volume 20, Issue 4
      October 1985
      11 pages
      ISSN:0163-5778
      DOI:10.1145/1057954
      Issue’s Table of Contents

      Copyright © 1985 Author

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 October 1985

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