Improving projection-based eigensolvers via adaptive techniques-Reference-Cited by-同舟云学术

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Improving projection-based eigensolvers via adaptive techniques

Published:2017-10-20 Issue:1 Volume:25 Page:e2124
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numer Linear Algebra Appl

Author:

Galgon Martin¹^ORCID,Krämer Lukas¹,Lang Bruno¹

Affiliation:

1. Bergische Universität Wuppertal; Fakultät für Mathematik und Naturwissenschaften; 42097 Wuppertal Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Reference26 articles.

1. Improving robustness of the FEAST algorithm and solving eigenvalue problems from graphene nanoribbons;Galgon;PAMM,2014

2. A model equation arising from chemical reactor theory;Poore;Arch Rat Mech Anal,1973

3. Differential Equations and Their Applications

4. Matrix Algorithms

5. The principle of minimized iteration in the solution of the matrix eigenvalue problem;Arnoldi;Qart Appl Math,1951

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1. Flexible subspace iteration with moments for an effective contour integration‐based eigensolver;Numerical Linear Algebra with Applications;2022-04-29

2. ESSEX: Equipping Sparse Solvers For Exascale;Software for Exascale Computing - SPPEXA 2016-2019;2020

3. Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects;Japan Journal of Industrial and Applied Mathematics;2019-04-27

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