A Method of Indefinite Krylov Subspace for Eigenvalue Problem

Autor:	M. Aliyari, M. Ghasemi Kamalvand
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Computer Science::Machine Learning Physics::Computational Physics Article Subject General Mathematics lcsh:Mathematics 010102 general mathematics General Engineering 010103 numerical & computational mathematics Krylov subspace State (functional analysis) lcsh:QA1-939 Computer Science::Digital Libraries 01 natural sciences Hermitian matrix Computer Science::Numerical Analysis Mathematics::Numerical Analysis Statistics::Machine Learning Lanczos resampling lcsh:TA1-2040 Computer Science::Mathematical Software Applied mathematics 0101 mathematics lcsh:Engineering (General). Civil engineering (General) Eigenvalues and eigenvectors Mathematics
Zdroj:	Mathematical Problems in Engineering, Vol 2018 (2018)
ISSN:	1563-5147
Popis:	We describe an indefinite state of Arnoldi’s method for solving the eigenvalues problems. In the following, we scrutinize the indefinite state of Lanczos’ method for solving the eigenvalue problems and we show that this method for the J-Hermitian matrices works much better than Arnoldi’s method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0ff5db0ea4b59aff02511c156ee4c9d https://doaj.org/article/e16293bcb83f4358bd14b79704298d95 Zobrazit plný text záznamu Plný text