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A Gradient-Based Algorithm with Nonmonotone Line Search for Nonnegative Matrix Factorization.
- Source :
-
Symmetry (20738994) . Feb2024, Vol. 16 Issue 2, p154. 20p. - Publication Year :
- 2024
-
Abstract
- In this paper, we first develop an active set identification technique, and then we suggest a modified nonmonotone line search rule, in which a new parameter formula is introduced to control the degree of the nonmonotonicity of line search. By using the modified line search and the active set identification technique, we propose a global convergent method to solve the NMF based on the alternating nonnegative least squares framework. In addition, the larger step size technique is exploited to accelerate convergence. Finally, a large number of numerical experiments are carried out on synthetic and image datasets, and the results show that our presented method is effective in calculating speed and solution quality. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20738994
- Volume :
- 16
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Symmetry (20738994)
- Publication Type :
- Academic Journal
- Accession number :
- 175650474
- Full Text :
- https://doi.org/10.3390/sym16020154