Algorithm 931

Author:

Hao Wenrui1,Sommese Andrew J.2,Zeng Zhonggang3

Affiliation:

1. University of Notre Dame

2. University of Notre Dame, Notre Dame, IN

3. Northeastern Illinois University, Chicago, IL

Abstract

A Matlab implementation, multiplicity, of a numerical algorithm for computing the multiplicity structure of a nonlinear system at an isolated zero is presented. The software incorporates a newly developed equation-by-equation strategy that significantly improves the efficiency of the closedness subspace algorithm and substantially reduces the storage requirement. The equation-by-equation strategy is actually based on a variable-by-variable closedness subspace approach. As a result, the algorithm and software can handle much larger nonlinear systems and higher multiplicities than their predecessors, as shown in computational experiments on the included test suite of benchmark problems.

Funder

Division of Mathematical Sciences

Duncan Chair of the University of Notre Dame

Publisher

Association for Computing Machinery (ACM)

Subject

Applied Mathematics,Software

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Squarefree normal representation of zeros of zero-dimensional polynomial systems;Journal of Symbolic Computation;2024-05

2. Multi-graded Macaulay dual spaces;Journal of Algebra and Its Applications;2024-04-05

3. A certified iterative method for isolated singular roots;Journal of Symbolic Computation;2023-03

4. Learn bifurcations of nonlinear parametric systems via equation-driven neural networks;Chaos: An Interdisciplinary Journal of Nonlinear Science;2022-01

5. A new deflation method for verifying the isolated singular zeros of polynomial systems;Journal of Computational and Applied Mathematics;2020-10

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