A literature survey of low‐rank tensor approximation techniques
RWTH Aachen University · École Polytechnique Fédérale de Lausanne
Indexed incrossref
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)
Citation impact
582
total citations
- FWCI
- 18.11
- Percentile
- 100%
- References
- 269
Citations per year
Authors
3Topics & keywords
Keywords
- Multilinear algebra
- Multilinear map
- Tensor (intrinsic definition)
- Rank (graph theory)
- Algebra over a field
- Function (biology)
- Computer science
- Mathematics
No related works found for this paper.