1302.7121 (Lars Grasedyck et al.)

A literature survey of low-rank tensor approximation techniques    [PDF]

Lars Grasedyck, Daniel Kressner, Christine Tobler

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.

View original: http://arxiv.org/abs/1302.7121