Hierarchical Matrices Algorithms Analysis by Hackbusch Wolfgang (28 results)
Language: English
Published by Springer, 2015
Series: Springer Computational Mathematics, Book 25 of 33. Book 25 of 33 - Springer Computational Mathematics
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Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2015
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Hardback. Condition: New. 1st ed. 2015. This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applications include the solution of matrix equations, e.g., th…e Lyapunov or Riccati equation. The required mathematical background can be found in the appendix.The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition.Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchicalmatrices is of interest to scientists in computational mathematics, physics, chemistry and engineering.
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2015
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Hardback. Condition: New. 1st ed. 2015.
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Published by Springer, 2015
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Language: English
Published by Springer, 2019
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Taschenbuch. Condition: Neu. Hierarchical Matrices: Algorithms and Analysis | Wolfgang Hackbusch | Taschenbuch | Springer Series in Computational Mathematics | xxv | Englisch | 2019 | Springer | EAN 9783662568941 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[…at]springer[dot]com | Anbieter: preigu.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applications include the sol…ution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix.The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition.Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchicalmatrices is of interest to scientists in computational mathematics, physics, chemistry and engineering.
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Published by Springer Verlag, 2017
Series: Springer Computational Mathematics, Book 25 of 33. Book 25 of 33 - Springer Computational Mathematics
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Paperback. Condition: Brand New. reprint edition. 540 pages. 9.25x6.10x1.09 inches. In Stock.
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Hardcover. Condition: Brand New. 540 pages. French language. 9.25x6.25x1.25 inches. In Stock.
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Published by Springer Berlin Heidelberg Mrz 2019, 2019
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other appli…cations include the solution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix.The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition.Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchical matrices is of interest to scientists in computational mathematics, physics, chemistry and engineering. 540 pp. Englisch.
Language: English
Published by Springer Berlin Heidelberg Dez 2015, 2015
Series: Springer Computational Mathematics, Book 25 of 33. Book 25 of 33 - Springer Computational Mathematics
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applications… include the solution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix.The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition.Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchical matrices is of interest to scientists in computational mathematics, physics, chemistry and engineering. 540 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Matrix algorithms of almost linear costApplication to matrix equations and matrix functionsSelf-contained contents by means of five appendicesMatrix algorithms of almost linear costApplication to matrix equations and…matrix func.
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Condition: New. Print on Demand pp. 540.
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Published by Springer, Springer Berlin Heidelberg Mär 2019, 2019
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applicati…ons include the solution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix.The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition.Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchicalmatrices is of interest to scientists in computational mathematics, physics, chemistry and engineering.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 540 pp. Englisch.
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Published by Springer, Springer Spektrum Dez 2015, 2015
Series: Springer Computational Mathematics, Book 25 of 33. Book 25 of 33 - Springer Computational Mathematics
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applications inc…lude the solution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix.The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition.Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchicalmatrices is of interest to scientists in computational mathematics, physics, chemistry and engineering.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 540 pp. Englisch.
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Condition: New. PRINT ON DEMAND pp. 536.
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Published by J.B. Metzler, 2019
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applicatio…ns include the solution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix.The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition.Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchicalmatrices is of interest to scientists in computational mathematics, physics, chemistry and engineering.
