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A literature survey of low-rank tensor approximation techniques

Authors :
Grasedyck, Lars
Kressner, Daniel
Tobler, Christine
Publication Year :
2013

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1302.7121
Document Type :
Working Paper