Dual gradient method with partial regularization for convex optimization problems
Abstract
We propose a class of dual gradient Uzawa type methods for general convex constrained optimization problems. In order to provide stable convergence we utilize the partial regularization in primal variables and additional constraints for dual variables. Convergence of the method is established under rather
Fields of Study & Subjects
Optimization and Variational Analysis
Advanced Optimization Algorithms Research
Matrix Theory and Algorithms
Publication details
- Journal / source
- Russian Mathematics
- Issue
- 1
- Pages
- 25–39
- Publication date
- 12 February 2026
- Language
- EN