articleGAMM-MitteilungenAug 1, 2013Closed access

A literature survey of low‐rank tensor approximation techniques

RWTH Aachen University · École Polytechnique Fédérale de Lausanne

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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

3

Topics & keywords

Keywords
  • Multilinear algebra
  • Multilinear map
  • Tensor (intrinsic definition)
  • Rank (graph theory)
  • Algebra over a field
  • Function (biology)
  • Computer science
  • Mathematics
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