Polynomial Homotopies for Dense, Sparse and Determinantal Systems
Jan Verschelde

TL;DR
This paper introduces numerical homotopy continuation methods tailored for dense, sparse, and determinantal polynomial systems, ensuring optimal paths and accurate root counting for generic instances.
Contribution
It presents a unified approach for solving different classes of polynomial systems using homotopy continuation, including software and application insights.
Findings
Paths lead to solutions for generic systems
Homotopy is optimal for the classes considered
Root counting aligns with generic system resolution
Abstract
Numerical homotopy continuation methods for three classes of polynomial systems are presented. For a generic instance of the class, every path leads to a solution and the homotopy is optimal. The counting of the roots mirrors the resolution of a generic system that is used to start up the deformations. Software and applications are discussed.
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 · Advanced Numerical Analysis Techniques · Numerical methods for differential equations
