Self-scaled bounds for atomic cone ranks: applications to nonnegative rank and cp-rank
The nonnegative rank of a matrix A is the smallest integer r such that A can be written as the sum of r rank-one nonnegative matrices. The nonnegative rank has received a lot of attention recently due to its application in optimization, probability and communication complexity. In this paper we stud...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2016
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| Online Access: | http://hdl.handle.net/1721.1/103632 https://orcid.org/0000-0001-6026-4102 https://orcid.org/0000-0003-1132-8477 |