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{{Short description|Matrix
{{hatnote|Not to be confused with [[Totally positive matrix]] and [[Positive-definite matrix]].}}
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is a [[matrix (mathematics)|matrix]] in which all the elements are equal to or greater than zero, that is,
: <math>x_{ij} \geq 0\qquad \forall {i,j}.</math>
A '''positive matrix''' is a matrix in which all the elements are strictly greater than zero. The set of positive matrices is
A rectangular non-negative matrix can be approximated by a decomposition with two other non-negative matrices via [[non-negative matrix factorization]].
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== Bibliography ==
{{refbegin}}
*{{harvnb|Berman|Plemmons|1994|loc=2. Nonnegative Matrices pp. 26–62. {{doi|10.1137/1.9781611971262.ch2}}}}
*{{cite book |first1=R.A. |last1=Horn |first2=C.R. |last2=Johnson |chapter=8. Positive and nonnegative matrices |title=Matrix Analysis |publisher=Cambridge University Press |edition=2nd |date=2013 |isbn=978-1-139-78203-6 |oclc=817562427 }}
| first = M. A.
| authorlink = Mark Krasnosel'skii
| title=Positive Solutions of Operator Equations
| publisher=P. Noordhoff
| ___location= [[Groningen (city)|Groningen]]
| year=1964 |
| first1 = M. A.
| authorlink1=Mark Krasnosel'skii
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| first3 = A.V.
| title = Positive Linear Systems: The method of positive operators
| series = Sigma Series in Applied Mathematics | volume=5
| publisher = Helderman Verlag
| isbn=3-88538-405-1 |oclc=1409010096
| year=1990}}
* {{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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