A literature survey of low-rank tensor approximation techniques
Numerical Analysis
2013-03-01 v1 Quantum Physics
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.
Keywords
Cite
@article{arxiv.1302.7121,
title = {A literature survey of low-rank tensor approximation techniques},
author = {Lars Grasedyck and Daniel Kressner and Christine Tobler},
journal= {arXiv preprint arXiv:1302.7121},
year = {2013}
}