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Efficient Numerical Methods for Non-local Operators

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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.

Efficient Numerical Methods for Non-local Operators

Download Efficient Numerical Methods for Non-local Operators PDF Online Free

Author :
Release : 2010
Genre : Matrices
Kind : eBook
Book Rating : 918/5 ( 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:

Accurate and Efficient Numerical Methods for Nonlocal Problems

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Author :
Release : 2018
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Accurate and Efficient Numerical Methods for Nonlocal Problems by : Wei Zhao

Download or read book Accurate and Efficient Numerical Methods for Nonlocal Problems written by Wei Zhao. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt:

Tensor Numerical Methods in Scientific Computing

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Release : 2018-06-11
Genre : Mathematics
Kind : eBook
Book Rating : 91X/5 ( reviews)

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Book Synopsis Tensor Numerical Methods in Scientific Computing by : Boris N. Khoromskij

Download or read book Tensor Numerical Methods in Scientific Computing written by Boris N. Khoromskij. This book was released on 2018-06-11. Available in PDF, EPUB and Kindle. Book excerpt: The most difficult computational problems nowadays are those of higher dimensions. This research monograph offers an introduction to tensor numerical methods designed for the solution of the multidimensional problems in scientific computing. These methods are based on the rank-structured approximation of multivariate functions and operators by using the appropriate tensor formats. The old and new rank-structured tensor formats are investigated. We discuss in detail the novel quantized tensor approximation method (QTT) which provides function-operator calculus in higher dimensions in logarithmic complexity rendering super-fast convolution, FFT and wavelet transforms. This book suggests the constructive recipes and computational schemes for a number of real life problems described by the multidimensional partial differential equations. We present the theory and algorithms for the sinc-based separable approximation of the analytic radial basis functions including Green’s and Helmholtz kernels. The efficient tensor-based techniques for computational problems in electronic structure calculations and for the grid-based evaluation of long-range interaction potentials in multi-particle systems are considered. We also discuss the QTT numerical approach in many-particle dynamics, tensor techniques for stochastic/parametric PDEs as well as for the solution and homogenization of the elliptic equations with highly-oscillating coefficients. Contents Theory on separable approximation of multivariate functions Multilinear algebra and nonlinear tensor approximation Superfast computations via quantized tensor approximation Tensor approach to multidimensional integrodifferential equations

Hierarchical Matrices: Algorithms and Analysis

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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.

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