2005
DOI: 10.1016/j.jsc.2004.04.004
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Detecting unnecessary reductions in an involutive basis computation

Abstract: We consider the check of the involutive basis property in a polynomial context. In order to show that a finite generating set F of a polynomial ideal I is an involutive basis one must confirm two properties. Firstly, the set of leading terms of the elements of F has to be complete. Secondly, one has to prove that F is a Gröbner basis of I. The latter is the time critical part but can be accelerated by application of Buchberger's criteria including the many improvements found during the last two decades. Gerdt … Show more

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Cited by 19 publications
(28 citation statements)
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References 6 publications
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“…To do the elimination from the nonlinear system (37) we apply the Gröbner factoring approach [44]: if a Gröbner basis contains a polynomial which factors, then the computation is split into the computation of two or more Gröbner bases corresponding to the factors. In doing so, we choose the elimination ranking u xx u x u t f x f u and compute two Gröbner bases, for every factor in (37). Then we compose the product of two obtained difference polynomials in u and f that gives us the Godunov-type difference scheme:…”
Section: Godunov Methodsmentioning
confidence: 99%
“…To do the elimination from the nonlinear system (37) we apply the Gröbner factoring approach [44]: if a Gröbner basis contains a polynomial which factors, then the computation is split into the computation of two or more Gröbner bases corresponding to the factors. In doing so, we choose the elimination ranking u xx u x u t f x f u and compute two Gröbner bases, for every factor in (37). Then we compose the product of two obtained difference polynomials in u and f that gives us the Godunov-type difference scheme:…”
Section: Godunov Methodsmentioning
confidence: 99%
“…It should be noted that the two criteria used in the HNF J (p, T) subalgorithm do not completely cover the Buchberger criteria, which was demonstrated in [18]. Some zero reductions can be found by means of two additional criteria formulated in [18].…”
Section: Gerdt Yanovichmentioning
confidence: 97%
“…Involutive criteria detecting some of S− polynomials of form (10) which are superfluous have not been implemented yet in the package. The full set of involutive criteria equivalent in the aggregate [19] to the Buchberger criteria [16] includes two criteria designed in [12] and two more criteria designed in [19]. In doing so, the last two criteria are usually applicable much more seldom than the first two ones.…”
Section: Performance Evaluationmentioning
confidence: 99%