Proceedings of the 1993 International Symposium on Symbolic and Algebraic Computation - ISSAC '93 1993
DOI: 10.1145/164081.164141
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A dynamic algorithm for Gröbner basis computation

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Cited by 12 publications
(20 citation statements)
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“…We typically denote polynomials by f , g, h, p, q, and r, and the ideal of R generated by any F ⊆ R as F . Following [9], we call a product of powers of the variables of R a term, and a product of a term and an element of K a monomial. We typically denote constants by letters at the beginning of the alphabet, and terms by t, u, v. We denote the exponent vector of a term by its name in boldface; so, if n = 4 and t = x An ordering σ on the set T n of all terms of R is admissible if it is a wellordering that is compatible with divisibility and multiplication; by "compatible with divisibility," we mean that t | u and t = u implies that t < σ u, and by "compatible with multiplication," we mean that t < σ u implies that tv < σ uv.…”
Section: 1mentioning
confidence: 99%
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“…We typically denote polynomials by f , g, h, p, q, and r, and the ideal of R generated by any F ⊆ R as F . Following [9], we call a product of powers of the variables of R a term, and a product of a term and an element of K a monomial. We typically denote constants by letters at the beginning of the alphabet, and terms by t, u, v. We denote the exponent vector of a term by its name in boldface; so, if n = 4 and t = x An ordering σ on the set T n of all terms of R is admissible if it is a wellordering that is compatible with divisibility and multiplication; by "compatible with divisibility," we mean that t | u and t = u implies that t < σ u, and by "compatible with multiplication," we mean that t < σ u implies that tv < σ uv.…”
Section: 1mentioning
confidence: 99%
“…Indeed, this question was posed nearly twenty years ago, and was studied both theoretically and practically in two separate papers [9] [21]. The first considered primarily questions of discrete geometry; the dynamic algorithm spills out as a nice application of the ideas, but the authors did not seriously consider an implementation.…”
Section: Introductionmentioning
confidence: 99%
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“…Computing a Gröbner basis using a Buchberger-variant algorithm can exhibit exponential worst-case time and computational complexity [19], and for this reason that many different techniques have been developed [15] [18] [20] [21] [22] for improving the algorithm, often for specific applications. However, while these techniques deal with the inner-workings of algorithm itself, outside the algorithm there is less control.…”
Section: Transformation Processmentioning
confidence: 99%