Erschienen: 14.03.2019 Abbildung von Hackbusch | Hierarchical Matrices: Algorithms and Analysis | Softcover reprint of the original 1st ed. 2015 | 2019 | 49

Hackbusch

Hierarchical Matrices: Algorithms and Analysis

lieferbar ca. 10 Tage als Sonderdruck ohne Rückgaberecht

139,09 €

inkl. Mwst.

Softcover reprint of the original 1st ed. 2015 2019. Buch. xxv, 511 S. 60 s/w-Abbildungen, 27 Farbabbildungen, Bibliographien. Softcover

Springer. ISBN 978-3-662-56894-1

Format (B x L): 15,5 x 23,5 cm

Gewicht: 819 g

In englischer Sprache

Produktbeschreibung

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.

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