Abstract
The original proximal minimization algorithm employs quadratic additive terms in the objectives of the subproblems. In this paper, we replace these quadratic additive terms by more general D-functions which resemble (but are not strictly) distance functions. We characterize the properties of such D-functions which, when used in the proximal minimization algorithm, preserve its overall convergence. The quadratic case as well as an entropy-oriented proximal minimization algorithm are obtained as special cases.
Original language | English |
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Pages (from-to) | 451-464 |
Number of pages | 14 |
Journal | Journal of Optimization Theory and Applications |
Volume | 73 |
Issue number | 3 |
DOIs | |
State | Published - Jun 1992 |
Keywords
- Bregman functions
- D-functions
- Proximal minimization algorithms
- entropy optimization
ASJC Scopus subject areas
- Management Science and Operations Research
- Control and Optimization
- Applied Mathematics