Tensor Numerical Methods in Scientific Computing / / Boris N. Khoromskij.
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 approximati...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2018 Part 1 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2018] ©2018 |
Year of Publication: | 2018 |
Language: | English |
Series: | Radon Series on Computational and Applied Mathematics ,
19 |
Online Access: | |
Physical Description: | 1 online resource (369 p.) |
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Table of Contents:
- Frontmatter
- Contents
- 1. Introduction
- 2. Theory on separable approximation of multivariate functions
- 3. Multilinear algebra and nonlinear tensor approximation
- 4. Superfast computations via quantized tensor approximation
- 5. Tensor approach to multidimensional integrodifferential equations
- Bibliography
- Index