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Nonnegative Rank Factorization of a Nonnegative Matrix A with A A ≥0
Authors:S. K. Jain   John Tynan
Affiliation: a Department of Mathematics, Ohio University, Athens, OH 45701, USA.b Department of Mathematics, Marietta College, Marietta, OH 45750, USA.
Abstract:In this article we obtain a nonnegative rank factorization of nonnegative matrices A satisfying one or both of the following conditions: (i) AA † ≥0 (ii) A † A ≥0, thus providing a new set of conditions that guarantee the existence of a nonnegative least-squares solution of a linear system. Indeed, the characterization of such matrices improves some of the previous known conditions for the existence of a nonnegative least-squares solution of a linear system.
Keywords:Idempotent Matrices  Least-squares Solution  Moore-Penrose Inverse  Nonnegative Rank Factorization
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