Physical behavior of eigenvalues and singular values in matrix decompositions
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/7961 |
Resumo: | An apposite as well as realistic treatment of eigenvalue and singular value problems are potentially of interest to a wide variety of people, including among others, design engineers, theoretical physicists, classical applied mathematics and numerical analysis who yearn to carry out research in the matrix field. In real world, it is extensively used but at sometimes scantily understood. This paper focuses on building a solid perception of eigenvalue as well as singular value with their substantial meanings. The main goals of this paper are to present an intuitive experience of both eigenvalue and singular value in matrix decompositions throughout a discussion by largely building on ideas from linear algebra and will be proficiently to gain a better perceptive of their physical meanings from graphical representation. |
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Physical behavior of eigenvalues and singular values in matrix decompositionsEigenvalueSingular valueMatrix decompositionOrthonormal basisLinear mappingAn apposite as well as realistic treatment of eigenvalue and singular value problems are potentially of interest to a wide variety of people, including among others, design engineers, theoretical physicists, classical applied mathematics and numerical analysis who yearn to carry out research in the matrix field. In real world, it is extensively used but at sometimes scantily understood. This paper focuses on building a solid perception of eigenvalue as well as singular value with their substantial meanings. The main goals of this paper are to present an intuitive experience of both eigenvalue and singular value in matrix decompositions throughout a discussion by largely building on ideas from linear algebra and will be proficiently to gain a better perceptive of their physical meanings from graphical representation.IJSER2013-07-05T13:49:39Z2011-06-01T00:00:00Z2011-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/7961eng2229-5518Huda, AzmolAguiar, Rui Luisinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:11:28Zoai:ria.ua.pt:10773/7961Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:44:39.293466Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Physical behavior of eigenvalues and singular values in matrix decompositions |
title |
Physical behavior of eigenvalues and singular values in matrix decompositions |
spellingShingle |
Physical behavior of eigenvalues and singular values in matrix decompositions Huda, Azmol Eigenvalue Singular value Matrix decomposition Orthonormal basis Linear mapping |
title_short |
Physical behavior of eigenvalues and singular values in matrix decompositions |
title_full |
Physical behavior of eigenvalues and singular values in matrix decompositions |
title_fullStr |
Physical behavior of eigenvalues and singular values in matrix decompositions |
title_full_unstemmed |
Physical behavior of eigenvalues and singular values in matrix decompositions |
title_sort |
Physical behavior of eigenvalues and singular values in matrix decompositions |
author |
Huda, Azmol |
author_facet |
Huda, Azmol Aguiar, Rui Luis |
author_role |
author |
author2 |
Aguiar, Rui Luis |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Huda, Azmol Aguiar, Rui Luis |
dc.subject.por.fl_str_mv |
Eigenvalue Singular value Matrix decomposition Orthonormal basis Linear mapping |
topic |
Eigenvalue Singular value Matrix decomposition Orthonormal basis Linear mapping |
description |
An apposite as well as realistic treatment of eigenvalue and singular value problems are potentially of interest to a wide variety of people, including among others, design engineers, theoretical physicists, classical applied mathematics and numerical analysis who yearn to carry out research in the matrix field. In real world, it is extensively used but at sometimes scantily understood. This paper focuses on building a solid perception of eigenvalue as well as singular value with their substantial meanings. The main goals of this paper are to present an intuitive experience of both eigenvalue and singular value in matrix decompositions throughout a discussion by largely building on ideas from linear algebra and will be proficiently to gain a better perceptive of their physical meanings from graphical representation. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-06-01T00:00:00Z 2011-06-01 2013-07-05T13:49:39Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/7961 |
url |
http://hdl.handle.net/10773/7961 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2229-5518 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IJSER |
publisher.none.fl_str_mv |
IJSER |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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