Matrix Computations and Semiseparable Matrices : Eigenvalue and Singular Value Methods

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Title: Matrix Computations and Semiseparable Matrices : Eigenvalue and Singular Value Methods
Description: The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and Semiseparable Matrices. In volume 2, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi discuss the theory of structured eigenvalue and singular value computations for semiseparable matrices. These matrices have hidden properties that allow the development of efficient methods and algorithms to accurately compute the matrix eigenvalues. This thorough analysis of semiseparable matrices explains their theoretical underpinnings and contains a wealth of information on implementing them in practice. Many of the routines featured are coded in Matlab and can be downloaded from the Web for further exploration.
Authors: Raf Vandebril, Marc Van Barel, Nicola Mastronardi
Resource Type: eBook.
Subjects: Numerical analysis, Matrices--Data processing, Semiseparable matrices
Categories: MATHEMATICS / Applied, MATHEMATICS / Matrices
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 303872
RelevancyScore: 1018
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1018.08020019531
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Matrix Computations and Semiseparable Matrices : Eigenvalue and Singular Value Methods
– Name: Abstract
  Label: Description
  Group: Ab
  Data: The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and Semiseparable Matrices. In volume 2, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi discuss the theory of structured eigenvalue and singular value computations for semiseparable matrices. These matrices have hidden properties that allow the development of efficient methods and algorithms to accurately compute the matrix eigenvalues. This thorough analysis of semiseparable matrices explains their theoretical underpinnings and contains a wealth of information on implementing them in practice. Many of the routines featured are coded in Matlab and can be downloaded from the Web for further exploration.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Raf+Vandebril%22">Raf Vandebril</searchLink><br /><searchLink fieldCode="AR" term="%22Marc+Van+Barel%22">Marc Van Barel</searchLink><br /><searchLink fieldCode="AR" term="%22Nicola+Mastronardi%22">Nicola Mastronardi</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Matrices--Data+processing%22">Matrices--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Semiseparable+matrices%22">Semiseparable matrices</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 512.9434
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Numerical analysis
        Type: general
      – SubjectFull: Matrices--Data processing
        Type: general
      – SubjectFull: Semiseparable matrices
        Type: general
    Titles:
      – TitleFull: Matrix Computations and Semiseparable Matrices : Eigenvalue and Singular Value Methods
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Raf Vandebril
      – PersonEntity:
          Name:
            NameFull: Marc Van Barel
      – PersonEntity:
          Name:
            NameFull: Nicola Mastronardi
      – PersonEntity:
          Name:
            NameFull: Raf Vandebril
      – PersonEntity:
          Name:
            NameFull: Marc Van Barel
      – PersonEntity:
          Name:
            NameFull: Nicola Mastronardi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2008
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780801890529
            – Type: isbn-electronic
              Value: 9780801896804
          Numbering:
            – Type: volume
              Value: 00002
          Titles:
            – TitleFull: Matrix Computations and Semiseparable Matrices : Eigenvalue and Singular Value Methods
              Type: main
ResultId 1