Stochastic Gradient Optimization TechniquesNumerical methods in inverse problemsOptimization and Variational Analysis
I. Konnov
2026.1.1Russian Mathematics
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
Citation format
KONNOV, I. Dual gradient method with partial regularization for convex optimization problems. Russian Mathematics, 2026, 70(1): 21–33.