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,
2016-07-15T21:47:49Z.
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Subjects: | |
Online Access: | Get fulltext |