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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

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Computing singular values of diagonally dominant matrices to high relative accuracy
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by Qiang Ye PDF
Math. Comp. 77 (2008), 2195-2230 Request permission

Abstract:

For a (row) diagonally dominant matrix, if all of its off-diagonal entries and its diagonally dominant parts (which are defined for each row as the absolute value of the diagonal entry subtracted by the sum of the absolute values of off-diagonal entries in that row) are accurately known, we develop an algorithm that computes all the singular values, including zero ones if any, with relative errors in the order of the machine precision. When the matrix is also symmetric with positive diagonals (i.e. a symmetric positive semi-definite diagonally dominant matrix), our algorithm computes all eigenvalues to high relative accuracy. Rounding error analysis will be given and numerical examples will be presented to demonstrate the high relative accuracy of the algorithm.
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Additional Information
  • Qiang Ye
  • Affiliation: Department of Mathematics, University of Kentucky, Lexington, Kentucky 40506-0027
  • MR Author ID: 237891
  • Email: qye@ms.uky.edu
  • Received by editor(s): April 9, 2007
  • Received by editor(s) in revised form: October 4, 2007
  • Published electronically: May 5, 2008
  • Additional Notes: This research was supported in part by NSF under Grant DMS-0411502.
  • © Copyright 2008 American Mathematical Society
  • Journal: Math. Comp. 77 (2008), 2195-2230
  • MSC (2000): Primary 65F18, 65F05
  • DOI: https://doi.org/10.1090/S0025-5718-08-02112-1
  • MathSciNet review: 2429881