Positive matrix factorization (PMF) is a least squares approach to factor analysis which was originally developed for environmental data analysis and has been applied to several problems in resolving sources of environmental pollutants. PMF has been used as both a two-way and three-way data analysis
A constrained matrix factorization problem
β Scribed by Romano M DeSantis; William A Porter
- Publisher
- Elsevier Science
- Year
- 1984
- Tongue
- English
- Weight
- 270 KB
- Volume
- 102
- Category
- Article
- ISSN
- 0022-247X
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We apply Dykstra's alternating projection algorithm to the constrained least-squares matrix problem that arises naturally in statistics and mathematical economics. In particular, we are concerned with the problem of finding the closest symmetric positive definite bounded and patterned matrix, in the
## Bebvitch (1) haa shown that, starting from a given paseive, rational, n x n scattering muttix S( p) of degree 6, one can proceed to a realization by factoring it in the form S(P) = S,(P)S,(P), where S,(p) is an n x n, lorrslees acaltering matrix of degree one, while the degree of S1( ) is redwe