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  • 1
    Book
    Book
    Berlin [u.a.] :de Gruyter,
    UID:
    almafu_BV039557632
    Format: VIII, 208 S. : , graph. Darst.
    ISBN: 978-3-11-025033-6
    Series Statement: De Gruyter graduate lectures
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-11-025037-4
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    Keywords: Eigenwertproblem ; Numerisches Verfahren ; Lehrbuch ; Lehrbuch ; Lehrbuch ; Lehrbuch ; Lehrbuch
    Author information: Börm, Steffen 1972-
    Author information: Mehl, Christian 1968-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Berlin ;Boston :De Gruyter,
    UID:
    almafu_9958353960202883
    Format: 1 online resource (216p.)
    ISBN: 9783110250374
    Series Statement: De Gruyter Textbook
    Content: 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.
    Note: Frontmatter -- , Preface -- , Contents -- , Chapter 1. Introduction -- , Chapter 2. Existence and properties of eigenvalues and eigenvectors -- , Chapter 3. Jacobi iteration -- , Chapter 4. Power methods -- , Chapter 5. QR iteration -- , Chapter 6. Bisection methods -- , Chapter 7. Krylov subspace methods for large sparse eigenvalue problems -- , Chapter 8. Generalized and polynomial eigenvalue problems -- , Bibliography -- , Index , In English.
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    Keywords: Lehrbuch
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
    URL: Cover
    URL: Cover
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Berlin ;Boston :De Gruyter,
    UID:
    edocfu_9958353960202883
    Format: 1 online resource (216p.)
    ISBN: 9783110250374
    Series Statement: De Gruyter Textbook
    Content: 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.
    Note: Frontmatter -- , Preface -- , Contents -- , Chapter 1. Introduction -- , Chapter 2. Existence and properties of eigenvalues and eigenvectors -- , Chapter 3. Jacobi iteration -- , Chapter 4. Power methods -- , Chapter 5. QR iteration -- , Chapter 6. Bisection methods -- , Chapter 7. Krylov subspace methods for large sparse eigenvalue problems -- , Chapter 8. Generalized and polynomial eigenvalue problems -- , Bibliography -- , Index , In English.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Berlin ; : De Gruyter,
    UID:
    almafu_9959242396202883
    Format: 1 online resource (216 p.)
    Edition: 1st ed.
    ISBN: 1-283-85759-6 , 3-11-025037-3
    Series Statement: De Gruyter graduate lectures
    Content: 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.
    Note: Description based upon print version of record. , Front matter -- , Preface -- , Contents -- , Chapter 1. Introduction -- , Chapter 2. Existence and properties of eigenvalues and eigenvectors -- , Chapter 3. Jacobi iteration -- , Chapter 4. Power methods -- , Chapter 5. QR iteration -- , Chapter 6. Bisection methods -- , Chapter 7. Krylov subspace methods for large sparse eigenvalue problems -- , Chapter 8. Generalized and polynomial eigenvalue problems -- , Bibliography -- , Index , English
    Additional Edition: ISBN 3-11-025033-0
    Language: English
    Subjects: Mathematics
    RVK:
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Berlin ; : De Gruyter,
    UID:
    almahu_9949462114702882
    Format: 1 online resource (208 p.)
    ISBN: 9783110250374 , 9783110238570
    Series Statement: De Gruyter Textbook
    Content: 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.
    Note: Frontmatter -- , Preface -- , Contents -- , Chapter 1. Introduction -- , Chapter 2. Existence and properties of eigenvalues and eigenvectors -- , Chapter 3. Jacobi iteration -- , Chapter 4. Power methods -- , Chapter 5. QR iteration -- , Chapter 6. Bisection methods -- , Chapter 7. Krylov subspace methods for large sparse eigenvalue problems -- , Chapter 8. Generalized and polynomial eigenvalue problems -- , Bibliography -- , Index , Mode of access: Internet via World Wide Web. , In English.
    In: DGBA Backlist Complete English Language 2000-2014 PART1, De Gruyter, 9783110238570
    In: DGBA Backlist Mathematics 2000-2014 (EN), De Gruyter, 9783110238471
    In: DGBA Mathematics - 2000 - 2014, De Gruyter, 9783110637205
    In: E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2012, De Gruyter, 9783110288995
    In: E-BOOK PACKAGE MATHEMATICS, PHYSICS, ENGINEERING 2012, De Gruyter, 9783110293722
    In: E-BOOK PAKET MATHEMATIK, PHYSIK, INGENIEURWISS. 2012, De Gruyter, 9783110288926
    Additional Edition: ISBN 9783110250336
    Language: English
    Subjects: Mathematics
    RVK:
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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