Journal of Computational and Applied Mathematics2022,Vol.41119.DOI:10.1016/j.cam.2022.114235

Analysis of normal-form algorithms for solving systems of polynomial equations

Parkinson, Suzanna Ringer, Hayden Wall, Kate Parkinson, Erik Erekson, Lukas Christensen, Daniel Jarvis, Tyler J.
Journal of Computational and Applied Mathematics2022,Vol.41119.DOI:10.1016/j.cam.2022.114235

Analysis of normal-form algorithms for solving systems of polynomial equations

Parkinson, Suzanna 1Ringer, Hayden 2Wall, Kate 3Parkinson, Erik 4Erekson, Lukas 3Christensen, Daniel 3Jarvis, Tyler J.3
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作者信息

  • 1. Univ Chicago
  • 2. Virginia Tech
  • 3. Brigham Young Univ
  • 4. Emergent Trading
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Abstract

We examine several of the normal-form multivariate polynomial rootfinding methods of Telen, Mourrain, and Van Barel and some variants of those methods. We analyze the performance of these variants in terms of their asymptotic temporal complexity as well as speed and accuracy on a wide range of numerical experiments. All variants of the algorithm are problematic for systems in which many roots are very close together. We analyze the performance on one such system in detail, namely the "devastating example "that Noferini and Townsend used to demonstrate instability of resultant-based methods. We demonstrate that the problems with the devastating example arise from having a large number of roots very close to each other. We also show that a small number of clustered roots does not cause numerical problems for these methods. We conjecture that the clustering of many roots is the primary source of problematic examples. (C) 2022 Elsevier B.V. All rights reserved.

Key words

Polynomial systems/Macaulay matrix/Numerical linear algebra/Moller-Stetter matrices/Normal forms

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量1
参考文献量23
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