Algorithms of eigenvalues and eigenvectors

Many fields make use of the concepts about eigenvalues in their studies. In engineering, physics, statistics and computer science, computation of eigenvalues is needed. However, computation of eigenvalues is normally tedious. Mathematicians have designed relatively easy methods in computing eigenval...

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Main Authors: Atienza, Nelson T., Calderon, Marianne C.
Format: text
Language:English
Published: Animo Repository 1996
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/16337
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-168502022-02-09T03:02:21Z Algorithms of eigenvalues and eigenvectors Atienza, Nelson T. Calderon, Marianne C. Many fields make use of the concepts about eigenvalues in their studies. In engineering, physics, statistics and computer science, computation of eigenvalues is needed. However, computation of eigenvalues is normally tedious. Mathematicians have designed relatively easy methods in computing eigenvalues. In this study, some known methods of eigenvalue computation are discussed namely the Power method, Inverse power method, Rayliegh Quotient Iteration method and the Householder transformation method. At the end, Rayleigh Quotient Iteration Method is determined to have the fastest convergence. A computer program including these for methods is provided which is valid for a specific kinds of matrix. 1996-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/16337 Bachelor's Theses English Animo Repository Algorithms Eigenvalues Eigenvectors Matrices Computer programs
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Algorithms
Eigenvalues
Eigenvectors
Matrices
Computer programs
spellingShingle Algorithms
Eigenvalues
Eigenvectors
Matrices
Computer programs
Atienza, Nelson T.
Calderon, Marianne C.
Algorithms of eigenvalues and eigenvectors
description Many fields make use of the concepts about eigenvalues in their studies. In engineering, physics, statistics and computer science, computation of eigenvalues is needed. However, computation of eigenvalues is normally tedious. Mathematicians have designed relatively easy methods in computing eigenvalues. In this study, some known methods of eigenvalue computation are discussed namely the Power method, Inverse power method, Rayliegh Quotient Iteration method and the Householder transformation method. At the end, Rayleigh Quotient Iteration Method is determined to have the fastest convergence. A computer program including these for methods is provided which is valid for a specific kinds of matrix.
format text
author Atienza, Nelson T.
Calderon, Marianne C.
author_facet Atienza, Nelson T.
Calderon, Marianne C.
author_sort Atienza, Nelson T.
title Algorithms of eigenvalues and eigenvectors
title_short Algorithms of eigenvalues and eigenvectors
title_full Algorithms of eigenvalues and eigenvectors
title_fullStr Algorithms of eigenvalues and eigenvectors
title_full_unstemmed Algorithms of eigenvalues and eigenvectors
title_sort algorithms of eigenvalues and eigenvectors
publisher Animo Repository
publishDate 1996
url https://animorepository.dlsu.edu.ph/etd_bachelors/16337
_version_ 1772834962192465920