Contour Integration for Eigenvector Nonlinearities

05/24/2022
by   Rob Claes, et al.
0

Solving polynomial eigenvalue problems with eigenvector nonlinearities (PEPv) is an interesting computational challenge, outside the reach of the well-developed methods for nonlinear eigenvalue problems. We present a natural generalization of these methods which leads to a contour integration approach for computing all eigenvalues of a PEPv in a compact region of the complex plane. Our methods can be used to solve any suitably generic system of polynomial or rational function equations.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/29/2018

FEAST Eigensolver for Nonlinear Eigenvalue Problems

The linear FEAST algorithm is a method for solving linear eigenvalue pro...
research
12/29/2020

Contour Integral Methods for Nonlinear Eigenvalue Problems: A Systems Theoretic Approach

Contour integral methods for nonlinear eigenvalue problems seek to compu...
research
10/20/2020

Flexible subspace iteration with moments for an effective contour integration-based eigensolver

Contour integration schemes are a valuable tool for the solution of diff...
research
03/04/2020

Introducing phase jump tracking - a fast method for eigenvalue evaluation of the direct Zakharov-Shabat problem

We propose a new method for finding discrete eigenvalues for the direct ...
research
12/24/2021

A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations

Dyson-Schwinger equations (DSEs) are a non-perturbative way to express n...
research
08/10/2023

Match-based solution of general parametric eigenvalue problems

We describe a novel algorithm for solving general parametric (nonlinear)...
research
06/24/2022

Computing diffraction anomalies as nonlinear eigenvalue problems

When a plane electromagnetic wave impinges upon a diffraction grating or...

Please sign up or login with your details

Forgot password? Click here to reset