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      Practical Groebner Basis Computation

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          Abstract

          We report on our experiences exploring state of the art Groebner basis computation. We investigate signature based algorithms in detail. We also introduce new practical data structures and computational techniques for use in both signature based Groebner basis algorithms and more traditional variations of the classic Buchberger algorithm. Our conclusions are based on experiments using our new freely available open source standalone C++ library.

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          A new efficient algorithm for computing Gröbner bases (F4)

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            Efficiently computing minimal sets of critical pairs

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              The F5 Criterion revised

              , (2016)
              The purpose of this work is to generalize part of the theory behind Faugere's "F5" algorithm. This is one of the fastest known algorithms to compute a Groebner basis of a polynomial ideal I generated by polynomials f_{1},...,f_{m}. A major reason for this is what Faugere called the algorithm's "new" criterion, and we call "the F5 criterion"; it provides a sufficient condition for a set of polynomials G to be a Groebner basis. However, the F5 algorithm is difficult to grasp, and there are unresolved questions regarding its termination. This paper introduces some new concepts that place the criterion in a more general setting: S-Groebner bases and primitive S-irreducible polynomials. We use these to propose a new, simple algorithm based on a revised F5 criterion. The new concepts also enable us to remove various restrictions, such as proving termination without the requirement that f_{1},...,f_{m} be a regular sequence.
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                Author and article information

                Journal
                29 June 2012
                Article
                1206.6940
                301823d0-d936-4344-b84a-eb3302370778

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Full online version including appendices, 17 pages; Proceedings of the International Symposium on Symbolic and Algebraic Computation (ISSAC) 2012
                cs.SC cs.DS math.AC

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