1988
DOI: 10.1016/s0747-7171(88)80045-2
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Computing dimension and independent sets for polynomial ideals

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Cited by 66 publications
(29 citation statements)
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“…If B is the set returned by the algorithm then by construction {Z i : x i ∈ B} is a maximal strongly independent subset of { Z} modulo P ( x)/k( g) , and since P ( x)/k( g) is prime any maximal subset of { Z} strongly independent modulo P ( x)/k( g) is also maximal independent modulo P ( x)/k( g) (this is conjectured in Kredel andWeispfenning, 1988 andproven in Kalkbrener andSturmfels, 1995). Hence with Becker and Weispfenning (1993, Lemma 7.25) we may conclude that the residue classes of the Z i where…”
Section: Inmentioning
confidence: 92%
“…If B is the set returned by the algorithm then by construction {Z i : x i ∈ B} is a maximal strongly independent subset of { Z} modulo P ( x)/k( g) , and since P ( x)/k( g) is prime any maximal subset of { Z} strongly independent modulo P ( x)/k( g) is also maximal independent modulo P ( x)/k( g) (this is conjectured in Kredel andWeispfenning, 1988 andproven in Kalkbrener andSturmfels, 1995). Hence with Becker and Weispfenning (1993, Lemma 7.25) we may conclude that the residue classes of the Z i where…”
Section: Inmentioning
confidence: 92%
“…We extend the concept of strongly independent indeterminates modulo a introduced in (Kredel & Weispfenning, 1988) for ideals in k[x 1 , . .…”
Section: 2mentioning
confidence: 99%
“…Algorithm 3 also determines the maximal independent set of indeterminates modulo a. This algorithm is along the lines of the algorithm described in (Kredel & Weispfenning, 1988, Section 3). …”
Section: Algorithm 1 Finding the Left Basic Set Of An Ideal A Inmentioning
confidence: 99%
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“…They are based on the formula above. Some other algorithms to compute the dimension of the ideal I once a Grobner basis has been computed have been designed, for example by Kredel and Weispfenning, [23]. The problem with all these is that the computation of a Grobner basis takes a long time, both in terms of worst complexity and of "observed" complexity.…”
Section: Here Dim{mi)i = ^2 Dim*(i -Degree{ Lcm{ Mj L ))) and mentioning
confidence: 99%