Tensor Spaces and Numerical Tensor Calculus
Special numerical techniques are already needed to deal with nxn matrices for large n. Tensor data are of size nxnx...xn=n^d, where n^d exceeds the computer memory by far. They appear for problems of high spatial dimensions. Since standard methods fail, a particular tensor calculus is needed to trea...
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2012.
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Series: | Springer Series in Computational Mathematics,
42 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Part I: Algebraic Tensors
- Introduction
- Matrix Tools
- Algebraic Foundations of Tensor Spaces
- Part II: Functional Analysis of Tensor Spaces
- Banach Tensor Spaces
- General Techniques
- Minimal Subspaces.-Part III: Numerical Treatment
- r-Term Representation
- Tensor Subspace Represenation
- r-Term Approximation
- Tensor Subspace Approximation.-Hierarchical Tensor Representation
- Matrix Product Systems
- Tensor Operations
- Tensorisation
- Generalised Cross Approximation
- Applications to Elliptic Partial Differential Equations
- Miscellaneous Topics
- References
- Index.