1996
DOI: 10.1006/jsco.1996.0052
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Localization and Primary Decomposition of Polynomial Ideals

Abstract: In this paper, we propose a new method for primary decomposition of a polynomial ideal, not necessarily zero-dimensional, and report on a detailed study for its practical implementation. In our method, we introduce two key techniques, effective localization and fast elimination of redundant components, by which we can get a good performance for several examples. The performance of our method is examined by comparison with other existing methods based on practical experiments.

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Cited by 105 publications
(56 citation statements)
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“…Based on that observation we generalize the algorithm presented in [22] t o t h e computation of primary decompositions for modules. It rests on an ideal separation argument.…”
Section: Introductionmentioning
confidence: 98%
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“…Based on that observation we generalize the algorithm presented in [22] t o t h e computation of primary decompositions for modules. It rests on an ideal separation argument.…”
Section: Introductionmentioning
confidence: 98%
“…Regardless of the wide attention that this theoretical work attracted in the community, up to now there are only a few implementations of the algorithm: As far as we know, the AXIOM implementation of the authors of [5], an implementation in MAS by H. Kredel for zero dimensional ideals, our implementation in the REDUCE package CALI [7] and the implementation in the computer algebra system Risa/Asir [15] b y the authors of [22]. Only CALI o ers primary decomposition also for modules.…”
Section: Introductionmentioning
confidence: 99%
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