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{{Short description|Matrix
{{hatnote|Not to be confused with [[Totally positive matrix]] and [[Positive-definite matrix]].}}
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== Bibliography ==
{{refbegin}}
* {{cite book |
*{{harvnb|Berman|Plemmons|1994|loc=2. Nonnegative Matrices pp. 26–62. {{
*{{cite book |
* {{cite book| last = Krasnosel'skii
| first = M. A.
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* {{cite book |author-link=Eugene Seneta |first=E. |last=Seneta |title=Non-negative matrices and Markov chains |publisher=Springer |series=Springer Series in Statistics |edition=2nd |date=1981 |isbn=978-0-387-29765-1 |oclc=209916821 |doi=10.1007/0-387-32792-4}}
* {{cite book |author-link=Richard S. Varga |first=R.S. |last=Varga |chapter=Nonnegative Matrices |chapter-url=https://link.springer.com/chapter/10.1007/978-3-642-05156-2_2 |doi=10.1007/978-3-642-05156-2_2 |title=Matrix Iterative Analysis |publisher=Springer |series=Springer Series in Computational Mathematics |volume=27 |date=2009 |isbn=978-3-642-05156-2 |pages=31–62 }}
* Andrzej Cichocki; Rafel Zdunek; Anh Huy Phan; Shun-ichi Amari: ''Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation'', John Wiley & Sons,ISBN 978-0-470-74666-0 (2009).
{{refend}}
{{Matrix classes}}
[[Category:Matrices (mathematics)]]
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