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Polynomial systems occur in many areas of science and engineering. Unlike general nonlinear systems, the algebraic structure enables to compute all solutions of a polynomial system. We describe our massive parallel predictor-corrector…

Mathematical Software · Computer Science 2015-05-05 Jan Verschelde , Xiangcheng Yu

Speedup measures how much faster we can solve the same problem using many cores. If we can afford to keep the execution time fixed, then quality up measures how much better the solution will be computed using many cores. In this paper we…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-09-06 Jan Verschelde , Genady Yoffe

Systems of polynomial equations arise frequently in computer vision, especially in multiview geometry problems. Traditional methods for solving these systems typically aim to eliminate variables to reach a univariate polynomial, e.g., a…

Computer Vision and Pattern Recognition · Computer Science 2021-12-15 Chiang-Heng Chien , Hongyi Fan , Ahmad Abdelfattah , Elias Tsigaridas , Stanimire Tomov , Benjamin Kimia

Polynomial systems occur in many fields of science and engineering. Polynomial homotopy continuation methods apply symbolic-numeric algorithms to solve polynomial systems. We describe the design and implementation of our web interface and…

Mathematical Software · Computer Science 2015-06-09 Nathan Bliss , Jeff Sommars , Jan Verschelde , Xiangcheng Yu

A polynomial homotopy is a family of polynomial systems, typically in one parameter $t$. Our problem is to compute power series expansions of the coordinates of the solutions in the parameter $t$, accurately, using multiple double…

Numerical Analysis · Mathematics 2024-06-21 Jan Verschelde

Three aspects of applying homotopy continuation, which is commonly used to solve parameterized systems of polynomial equations, are investigated. First, for parameterized systems which are homogeneous, we investigate options for performing…

Numerical Analysis · Mathematics 2017-10-18 Jonathan D. Hauenstein , Margaret H. Regan

In order to compensate for the higher cost of double double and quad double arithmetic when solving large polynomial systems, we investigate the application of NVIDIA Tesla K20C general purpose graphics processing unit. The focus on this…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-14 Jan Verschelde , Xiangcheng Yu

By a numerical continuation method called a diagonal homotopy we can compute the intersection of two positive dimensional solution sets of polynomial systems. This paper proposes to use this diagonal homotopy as the key step in a procedure…

Numerical Analysis · Mathematics 2007-05-23 Andrew J. Sommese , Jan Verschelde , Charles W. Wampler

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…

Numerical Analysis · Mathematics 2025-10-20 Jan Verschelde

We propose a new algorithm for numerical path tracking in polynomial homotopy continuation. The algorithm is `robust' in the sense that it is designed to prevent path jumping and in many cases, it can be used in (only) double precision…

Algebraic Geometry · Mathematics 2020-09-11 Simon Telen , Marc Van Barel , Jan Verschelde

The problem of solving a system of polynomial equations is one of the most fundamental problems in applied mathematics. Among them, the problem of solving a system of binomial equations form a important subclass for which specialized…

Algebraic Geometry · Mathematics 2015-03-03 Tianran Chen , Dhagash Mehta

We study methods for finding the solution set of a generic system in a family of polynomial systems with parametric coefficients. We present a framework for describing monodromy based solvers in terms of decorated graphs. Under the…

Algebraic Geometry · Mathematics 2018-04-18 Timothy Duff , Cvetelina Hill , Anders Jensen , Kisun Lee , Anton Leykin , Jeff Sommars

We consider the problem of tracking one solution path defined by a polynomial homotopy on a parallel shared memory computer. Our robust path tracker applies Newton's method on power series to locate the closest singular parameter value. On…

Numerical Analysis · Mathematics 2020-07-31 Simon Telen , Marc Van Barel , Jan Verschelde

The polyhedral homotopy method of Huber and Sturmfels is a particularly efficient and robust numerical method for solving system of (Laurent) polynomial equations. A central component in an implementation of this method is an efficient and…

Algebraic Geometry · Mathematics 2021-11-30 Tianran Chen

A numerical irreducible decomposition for a polynomial system provides representations for the irreducible factors of all positive dimensional solution sets of the system, separated from its isolated solutions. Homotopy continuation methods…

Mathematical Software · Computer Science 2018-06-19 Jan Verschelde

This article develops a new predictor-corrector algorithm for numerical path tracking in the context of polynomial homotopy continuation. In the corrector step it uses a newly developed Newton corrector algorithm which rejects an initial…

Numerical Analysis · Mathematics 2020-03-24 Sascha Timme

We use our recent implementation of a certified homotopy tracking algorithm to search for start systems that minimize the average complexity of finding all roots of a regular system of polynomial equations. While finding optimal start…

Numerical Analysis · Mathematics 2011-05-24 Anton Leykin

In order to obtain more accurate solutions of polynomial systems with numerical continuation methods we use multiprecision arithmetic. Our goal is to offset the overhead of double double arithmetic accelerating the path trackers and in…

Mathematical Software · Computer Science 2012-01-04 Jan Verschelde , Genady Yoffe

A special homotopy continuation method, as a combination of the polyhedral homotopy and the linear product homotopy, is proposed for computing all the isolated solutions to a special class of polynomial systems. The root number bound of…

Symbolic Computation · Computer Science 2017-04-27 Yu Wang , Wenyuan Wu , Bican Xia

The Kernel Polynomial Method (KPM) is one of the fast diagonalization methods used for simulations of quantum systems in research fields of condensed matter physics and chemistry. The algorithm has a difficulty to be parallelized on a…

Computational Physics · Physics 2011-05-30 Shixun Zhang , Shinichi Yamagiwa , Masahiko Okumura , Seiji Yunoki
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