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

03/04/2020
by   Igor Chekhovskoy, et al.
0

We propose a new method for finding discrete eigenvalues for the direct Zakharov-Shabat problem, based on moving in the complex plane along the argument jumps of the function a(ζ), the localization of which does not require great accuracy. It allows to find all discrete eigenvalues taking into account their multiplicity faster than matrix methods and contour integrals. The method shows significant advantage over other methods when calculating a large discrete spectrum, both in speed and accuracy.

READ FULL TEXT

page 7

page 8

page 9

page 10

page 11

research
12/27/2022

Efficient method for calculating the eigenvalue of the Zakharov-Shabat system

In this paper, a direct method is proposed to calculate the eigenvalue o...
research
05/24/2022

Contour Integration for Eigenvector Nonlinearities

Solving polynomial eigenvalue problems with eigenvector nonlinearities (...
research
01/29/2018

FEAST Eigensolver for Nonlinear Eigenvalue Problems

The linear FEAST algorithm is a method for solving linear eigenvalue pro...
research
08/10/2023

Match-based solution of general parametric eigenvalue problems

We describe a novel algorithm for solving general parametric (nonlinear)...
research
12/01/2020

A Parallel Direct Eigensolver for Sequences of Hermitian Eigenvalue Problems with No Tridiagonalization

In this paper, a Parallel Direct Eigensolver for Sequences of Hermitian ...
research
08/24/2021

Finite-difference approximation of the inverse Sturm-Liouville problem with frozen argument

This paper deals with the discrete system being the finite-difference ap...
research
11/19/2018

Event-Based Features Selection and Tracking from Intertwined Estimation of Velocity and Generative Contours

This paper presents a new event-based method for detecting and tracking ...

Please sign up or login with your details

Forgot password? Click here to reset