Symbolic Computation Group

David R. Cheriton School of Computer Science
University of Waterloo, Waterloo, Ontario, Canada

Friday, October 28, 2022, at Western University
Hybrid Algorithms for Sparse Polynomial System Solving
Taylor Brysiewicz, Western University, Mathematics Department

Abstract:

The monomials involved in a polynomial system encode a large amount of information about its solutions. This fact has motivated the development of algorithms which take advantage of sparsity for polynomial system solving. In this talk I will discuss how hybrid symbolic-numeric algorithms like the polyhedral homotopy, sparse system decomposition, and the sparse trace test, help us reliably solve sparse polynomial systems. Along the way, I will discuss the basics of homotopy continuation, monodromy, and polyhedral geometry.

Aspects of this talk are joint work with Burr, Rodriguez, Sottile, and Yahl.

 

Last modified on Sunday, 11 August 2024, at 22:56 hours.