Numerical Methods for Eigenvalue Problems

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Title: Numerical Methods for Eigenvalue Problems
Description: Eigenvalues and eigenvectors of matrices and linear operators play an important role when solving problems from structural mechanics and electrodynamics, e.g., by describing the resonance frequencies of systems, when investigating the long-term behavior of stochastic processes, e.g., by describing invariant probability measures, and as a tool for solving more general mathematical problems, e.g., by diagonalizing ordinary differential equations or systems from control theory. This textbook presents a number of the most important numerical methods for finding eigenvalues and eigenvectors of matrices. The authors discuss the central ideas underlying the different algorithms and introduce the theoretical concepts required to analyze their behavior with the goal to present an easily accessible introduction to the field, including rigorous proofs of all important results, but not a complete overview of the vast body of research. Several programming examples allow the reader to experience the behavior of the different algorithms first-hand. The book addresses students and lecturers of mathematics, physics and engineering who are interested in the fundamental ideas of modern numerical methods and want to learn how to apply and extend these ideas to solve new problems.
Authors: Steffen Börm, Christian Mehl
Resource Type: eBook.
Subjects: Eigenvalues, Eigenvectors, Matrices--Data processing
Categories: MATHEMATICS / Applied, EDUCATION / Teaching / Subjects / Mathematics, MATHEMATICS / Matrices, MATHEMATICS / Study & Teaching, MATHEMATICS / Vector Analysis, MATHEMATICS / Numerical Analysis
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 471055
RelevancyScore: 1044
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1044.26904296875
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  Label: Title
  Group: Ti
  Data: Numerical Methods for Eigenvalue Problems
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Eigenvalues and eigenvectors of matrices and linear operators play an important role when solving problems from structural mechanics and electrodynamics, e.g., by describing the resonance frequencies of systems, when investigating the long-term behavior of stochastic processes, e.g., by describing invariant probability measures, and as a tool for solving more general mathematical problems, e.g., by diagonalizing ordinary differential equations or systems from control theory. This textbook presents a number of the most important numerical methods for finding eigenvalues and eigenvectors of matrices. The authors discuss the central ideas underlying the different algorithms and introduce the theoretical concepts required to analyze their behavior with the goal to present an easily accessible introduction to the field, including rigorous proofs of all important results, but not a complete overview of the vast body of research. Several programming examples allow the reader to experience the behavior of the different algorithms first-hand. The book addresses students and lecturers of mathematics, physics and engineering who are interested in the fundamental ideas of modern numerical methods and want to learn how to apply and extend these ideas to solve new problems.
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  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Steffen+Börm%22">Steffen Börm</searchLink><br /><searchLink fieldCode="AR" term="%22Christian+Mehl%22">Christian Mehl</searchLink>
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  Data: eBook.
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  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Eigenvalues%22">Eigenvalues</searchLink><br /><searchLink fieldCode="DE" term="%22Eigenvectors%22">Eigenvectors</searchLink><br /><searchLink fieldCode="DE" term="%22Matrices--Data+processing%22">Matrices--Data processing</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 512.9436
        Scheme: ddc
        Type: prePub
      – Code: 512.9436
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Eigenvalues
        Type: general
      – SubjectFull: Eigenvectors
        Type: general
      – SubjectFull: Matrices--Data processing
        Type: general
    Titles:
      – TitleFull: Numerical Methods for Eigenvalue Problems
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Steffen Börm
      – PersonEntity:
          Name:
            NameFull: Christian Mehl
      – PersonEntity:
          Name:
            NameFull: Steffen Börm
      – PersonEntity:
          Name:
            NameFull: Christian Mehl
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2012
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9783110250336
            – Type: isbn-electronic
              Value: 9783110250374
          Titles:
            – TitleFull: Numerical Methods for Eigenvalue Problems
              Type: main
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