Home Mathematics Tensor Numerical Methods in Scientific Computing
book: Tensor Numerical Methods in Scientific Computing
Book
Licensed
Unlicensed Requires Authentication

Tensor Numerical Methods in Scientific Computing

  • Boris N. Khoromskij
Language: English
Published/Copyright: 2018
Become an author with De Gruyter Brill

About this book

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

  • Tensor-structured numerical methods in scientific computing provide a powerful tool for efficient computations in higher dimensions
  • Various exercises are included in the book
  • Applications in Engineering and Quantum Many Body Physics

Author / Editor information

Boris N. Khoromskij, Max-Planck-Institute for Mathematics in the Sciences, Leipzig, Germany.


Publicly Available Download PDF
I

Publicly Available Download PDF
V

Requires Authentication Unlicensed

Licensed
1

Requires Authentication Unlicensed

Licensed
9

Requires Authentication Unlicensed

Licensed
70

Requires Authentication Unlicensed

Licensed
153

Requires Authentication Unlicensed

Licensed
216

Requires Authentication Unlicensed

Licensed
349

Requires Authentication Unlicensed

Licensed
367

Publishing information
Pages and Images/Illustrations in book
eBook published on:
June 11, 2018
eBook ISBN:
9783110365917
Hardcover published on:
June 11, 2018
Hardcover ISBN:
9783110370133
Pages and Images/Illustrations in book
Front matter:
10
Main content:
369
Downloaded on 13.10.2025 from https://www.degruyterbrill.com/document/doi/10.1515/9783110365917/html?lang=en
Scroll to top button