A Syzygial Method for Equidimensional Decomposition
Rafael Mohr

TL;DR
This paper introduces a new algorithm for equidimensional decomposition of algebraic sets that leverages syzygy computations and Gr"obner bases, improving efficiency over previous methods.
Contribution
The authors present a novel syzygy-based algorithm that avoids elimination and homological algebra, streamlining equidimensional decomposition.
Findings
Algorithm outperforms existing methods in experiments
Avoids complex algebraic processes like elimination
Demonstrates practical efficiency improvements
Abstract
Based on a theorem by Vasconcelos, we give an algorithm for equidimensional decomposition of algebraic sets using syzygy computations via Gr\"obner bases. This algorithm avoids the use of elimination, homological algebra and processing the input equations one-by-one present in previous algorithms. We experimentally demonstrate the practical interest of our algorithm compared to the state of the art.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPolynomial and algebraic computation · Topological and Geometric Data Analysis · Cancer Treatment and Pharmacology
