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Hierarchical Matrices: Algorithms and Analysis

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Release : 2015
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Kind : eBook
Book Rating : 252/5 ( reviews)

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Book Synopsis Hierarchical Matrices: Algorithms and Analysis by : Wolfgang Hackbusch

Download or read book Hierarchical Matrices: Algorithms and Analysis written by Wolfgang Hackbusch. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hierarchical Matrices: Algorithms and Analysis

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Author :
Release : 2015-12-21
Genre : Mathematics
Kind : eBook
Book Rating : 240/5 ( reviews)

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Book Synopsis Hierarchical Matrices: Algorithms and Analysis by : Wolfgang Hackbusch

Download or read book Hierarchical Matrices: Algorithms and Analysis written by Wolfgang Hackbusch. This book was released on 2015-12-21. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hierarchical Matrices

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Author :
Release : 2008-06-25
Genre : Mathematics
Kind : eBook
Book Rating : 476/5 ( reviews)

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Book Synopsis Hierarchical Matrices by : Mario Bebendorf

Download or read book Hierarchical Matrices written by Mario Bebendorf. This book was released on 2008-06-25. Available in PDF, EPUB and Kindle. Book excerpt: Hierarchical matrices are an efficient framework for large-scale fully populated matrices arising, e.g., from the finite element discretization of solution operators of elliptic boundary value problems. In addition to storing such matrices, approximations of the usual matrix operations can be computed with logarithmic-linear complexity, which can be exploited to setup approximate preconditioners in an efficient and convenient way. Besides the algorithmic aspects of hierarchical matrices, the main aim of this book is to present their theoretical background. The book contains the existing approximation theory for elliptic problems including partial differential operators with nonsmooth coefficients. Furthermore, it presents in full detail the adaptive cross approximation method for the efficient treatment of integral operators with non-local kernel functions. The theory is supported by many numerical experiments from real applications.

Efficient Numerical Methods for Non-local Operators

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Author :
Release : 2010
Genre : Matrices
Kind : eBook
Book Rating : 913/5 ( reviews)

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Book Synopsis Efficient Numerical Methods for Non-local Operators by : Steffen Börm

Download or read book Efficient Numerical Methods for Non-local Operators written by Steffen Börm. This book was released on 2010. Available in PDF, EPUB and Kindle. Book excerpt: Hierarchical matrices present an efficient way of treating dense matrices that arise in the context of integral equations, elliptic partial differential equations, and control theory. While a dense $n\times n$ matrix in standard representation requires $n^2$ units of storage, a hierarchical matrix can approximate the matrix in a compact representation requiring only $O(n k \log n)$ units of storage, where $k$ is a parameter controlling the accuracy. Hierarchical matrices have been successfully applied to approximate matrices arising in the context of boundary integral methods, to construct preconditioners for partial differential equations, to evaluate matrix functions, and to solve matrix equations used in control theory. $\mathcal{H}^2$-matrices offer a refinement of hierarchical matrices: Using a multilevel representation of submatrices, the efficiency can be significantly improved, particularly for large problems. This book gives an introduction to the basic concepts and presents a general framework that can be used to analyze the complexity and accuracy of $\mathcal{H}^2$-matrix techniques. Starting from basic ideas of numerical linear algebra and numerical analysis, the theory is developed in a straightforward and systematic way, accessible to advanced students and researchers in numerical mathematics and scientific computing. Special techniques are required only in isolated sections, e.g., for certain classes of model problems.

Eigenvalue Algorithms for Symmetric Hierarchical Matrices

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Release : 2012
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Eigenvalue Algorithms for Symmetric Hierarchical Matrices by : Thomas Mach

Download or read book Eigenvalue Algorithms for Symmetric Hierarchical Matrices written by Thomas Mach. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt:

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