Téléchargez le livre : Hierarchical Matrices: Algorithms and Analysis

Hierarchical Matrices: Algorithms and Analysis

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Éditeur :

Springer


Collection :

Springer Series in Computational Mathematics

Paru le : 2015-12-21

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Description

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 hierarchicalmatrices is of interest to scientists in computational mathematics, physics, chemistry and engineering.
Pages
511 pages
Collection
Springer Series in Computational Mathematics
Parution
2015-12-21
Marque
Springer
EAN papier
9783662473238
EAN PDF
9783662473245
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
51
Taille du fichier
5140 Ko
Prix
168,79 €

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