๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Entropy of square non-negative matrices

โœ Scribed by M.X. He; P.E. Ricci; D. Simon


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
380 KB
Volume
47
Category
Article
ISSN
0362-546X

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Non-negativity test of multidimensional
โœ N.K. Bose ๐Ÿ“‚ Article ๐Ÿ“… 1975 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 237 KB

## Arguments are advanced to point out that simpliJicatio?L analogous to that in the computational test for positice definiteness of multidimensional Hermitian matrices is not possible when the Hermitian matrix is to be tested for non-negative de&items-s.

An inequality for non-negative matrices
โœ Ming-wei Wang; Jeffrey Shallit ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 391 KB

Let A be an n x n matrix with non-negative entries and no entry in (0, 1). We prove that there exist integers r, s with 0 <~ r < s ~< 2" such that A" <~ AL We prove that 2" cannot be replaced with e~. We also give an application to the theory of formal languages.

A fast non-negativity-constrained least
โœ Rasmus Bro; Sijmen De Jong ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 154 KB ๐Ÿ‘ 1 views

In this paper a modification of the standard algorithm for non-negativity-constrained linear least squares regression is proposed. The algorithm is specifically designed for use in multiway decomposition methods such as PARAFAC and N-mode principal component analysis. In those methods the typical si