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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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Regeneration homotopies for solving systems of polynomials
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by Jonathan D. Hauenstein, Andrew J. Sommese and Charles W. Wampler PDF
Math. Comp. 80 (2011), 345-377 Request permission

Abstract:

We present a new technique, based on polynomial continuation, for solving systems of $n$ polynomials in $N$ complex variables. The method allows equations to be introduced one-by-one or in groups, obtaining at each stage a representation of the solution set that can be extended to the next stage until finally obtaining the solution set for the entire system. At any stage where positive dimensional solution components must be found, they are sliced down to isolated points by the introduction of hyperplanes. By moving these hyperplanes, one may build up the solution set to an intermediate system in which a union of hyperplanes “regenerates” the intersection of the component with the variety of the polynomial (or system of polynomials) brought in at the next stage. The theory underlying the approach guarantees that homotopy paths lead to all isolated solutions, and this capability can be used to generate witness supersets for solution components at any dimension, the first step in computing an irreducible decomposition of the solution set of a system of polynomial equations. The method is illustrated on several challenging problems, where it proves advantageous over both the polyhedral homotopy method and the diagonal equation-by-equation method, formerly the two leading approaches to solving sparse polynomial systems by numerical continuation.
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Additional Information
  • Jonathan D. Hauenstein
  • Affiliation: Department of Mathematics, Mailstop 3368, Texas A&M University, College Station, Texas 77843
  • MR Author ID: 832839
  • ORCID: 0000-0002-9252-8210
  • Email: jhauenst@math.tamu.edu
  • Andrew J. Sommese
  • Affiliation: Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana 46556
  • Email: sommese@nd.edu
  • Charles W. Wampler
  • Affiliation: General Motors Research and Development, Mail Code 480-106-359, 30500 Mound Road, Warren, Michigan 48090
  • Email: charles.w.wampler@gm.com
  • Received by editor(s): September 23, 2008
  • Received by editor(s) in revised form: July 24, 2009, and October 27, 2009
  • Published electronically: June 9, 2010
  • Additional Notes: The first author was supported by the Duncan Chair of the University of Notre Dame, the University of Notre Dame Center for Applied Mathematics, NSF Grant DMS-0410047, NSF Grant DMS-0712910, and the Fields Institute.
    The second author was supported by the Duncan Chair of the University of Notre Dame, NSF Grant DMS-0410047, and NSF Grant DMS-0712910.
    The third author was supported by NSF Grant DMS-0410047 and NSF Grant DMS-0712910.
  • © Copyright 2010 American Mathematical Society
    The copyright for this article reverts to public domain 28 years after publication.
  • Journal: Math. Comp. 80 (2011), 345-377
  • MSC (2010): Primary 65H10; Secondary 13P05, 14Q99, 68W30
  • DOI: https://doi.org/10.1090/S0025-5718-2010-02399-3
  • MathSciNet review: 2728983