Towards mixed gröbner basis algorithms: The multihomogeneous and sparse case

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Abstract

One of the biggest open problems in computational algebra is the design of efficient algorithms for Gröbner basis computations that take into account the sparsity of the input polynomials. We can perform such computations in the case of unmixed polynomial systems, that is systems with polynomials having the same support, using the approach of Faugère, Spaenlehauer, and Svartz [ISSAC’14]. We present two algorithms for sparse Gröbner bases computations for mixed systems. The first one computes with mixed sparse systems and exploits the supports of the polynomials. Under regularity assumptions, it performs no reductions to zero. For mixed, square, and 0-dimensional multihomogeneous polynomial systems, we present a dedicated, and potentially more efficient, algorithm that exploits different algebraic properties that performs no reduction to zero. We give an explicit bound for the maximal degree appearing in the computations.

Original languageEnglish
Title of host publicationISSAC 2018 - Proceedings of the 2018 ACM International Symposium on Symbolic and Algebraic Computation
PublisherAssociation for Computing Machinery
Pages71-78
Number of pages8
ISBN (Electronic)9781450355506
DOIs
Publication statusPublished - 11 Jul 2018
Event43rd ACM International Symposium on Symbolic and Algebraic Computation, ISSAC 2018 - New York, United States
Duration: 16 Jul 201819 Jul 2018

Publication series

NameProceedings of the International Symposium on Symbolic and Algebraic Computation, ISSAC

Conference

Conference43rd ACM International Symposium on Symbolic and Algebraic Computation, ISSAC 2018
Country/TerritoryUnited States
CityNew York
Period16/07/1819/07/18

Keywords

  • Mixed Sparse Gröbner Basis
  • Multihomogeneous Polynomial System
  • Sparse Polynomial System
  • Toric variety

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