Hierarchical Matrices: A Means to Efficiently Solve Elliptic Boundary Value Problems: 63 (Lecture Notes in Computational Science and Engineering, 63) - Image 1

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Springer Hierarchical Matrices: A Means to Efficiently Solve Elliptic Boundary Value Problems: 63 (Lecture Notes in Computational Science and Engineering, 63)

Name: Hierarchical Matrices: A Means to Efficiently Solve Elliptic Boundary Value Problems: 63 (Lecture Notes in Computational Science and Engineering, 63)
Brand: Springer
Price: 112.37 GBP
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53 black & white tables, biography

Differential Equations

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Description

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.

Product Specifications

Brand: Springer
Model: 53 black & white tables, biography
Format: paperback
ASIN: 3540771468
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Mathematical Analysis > Differential Equations
Domain: Amazon UK
Release Date: 13 June 2008
Listed Since: 06 February 2008

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Springer Hierarchical Matrices: A Means to Efficiently Solve Elliptic Boundary Value Problems: 63 (Lecture Notes in Computational Science and Engineering, 63)

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