GAMM-Mitteilungen· 2013Q3· Review
A literature survey of low‐rank tensor approximation techniques
- 584citations
- Q3SCImago
- 2013year
Short summary
This survey provides an overview of low-rank tensor approximation, a technique that has emerged as a powerful tool for solving large-scale scientific computing problems previously considered intractable.
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Key points
- Low-rank tensor approximation is a new tool for scientific computing.
- It addresses large-scale linear and multilinear algebra problems.
- These problems were previously intractable with classical techniques.
- The survey emphasizes function-related tensors.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract During the last years, low‐rank tensor approximation has been established as a new tool in scientific computing to address large‐scale linear and multilinear algebra problems, which would be intractable by classical techniques. This survey attempts to give a literature overview of current developments in this area, with an emphasis on function‐related tensors. (© 2013 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
The authors' abstract, as published at the source. GAMM-Mitteilungen, 2013 · DOI ↗
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Field: Computational Mathematics
Computational MathematicsMathematics