1999
DOI: 10.1006/jcom.1999.0520
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Efficient p-adic Cell Decompositions for Univariate Polynomials

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Cited by 5 publications
(5 citation statements)
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“…By [11,Lemma 4.1], the complexity of this step is O(n 5 p(log 2 (L) + n 2 ) = C 3 , where L is the precision computed in the previous step. Therefore, we obtain the following complexity estimate Theorem 2.…”
Section: Algorithm 3 Call Ecd(l)mentioning
confidence: 99%
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“…By [11,Lemma 4.1], the complexity of this step is O(n 5 p(log 2 (L) + n 2 ) = C 3 , where L is the precision computed in the previous step. Therefore, we obtain the following complexity estimate Theorem 2.…”
Section: Algorithm 3 Call Ecd(l)mentioning
confidence: 99%
“…The main technical tool is the cell decomposition algorithm of restricted precision L, ECD(L) which we defined in [11,Algorithm 3.2,p. 521].…”
Section: Introductionmentioning
confidence: 99%
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“…Breiding [4] made an attempt to generalize homotopy continuation methods, but the metric/topological properties of the p-adics made such an attempt fail. In contrast, subdivision methods are commonplace in the p-adic world [20,36,37] and also in the related world of prime power rings [12,31]. Nevertheless, none of these algorithms seems to use Strassman's theorem as the guiding rule of the subdivision, as Strassman does.…”
Section: The Strassman Solvermentioning
confidence: 99%
“…Paraphrased in our notation, Erich Kaltofen asked in 2003 whether FEAS Z/pZ (F 1,3 ) admits a (deterministic) algorithm with complexity (log(p) + size(f )) O(1) [Kal03]. 5 The best previous complexity upper bound for FEAS Q primes (Z[x 1 ]×P) relative to the sparse input size appears to have been EXPTIME [MW99].…”
Section: Introductionmentioning
confidence: 99%