ML BPGD extends MGOPT to Bregman proximal gradient descent for constrained convex problems, proving global linear convergence across multiple coarse levels and validating on image reconstruction.
Briggs, Van Emden Henson, and Steve F
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Multilevel Bregman Proximal Gradient Descent
ML BPGD extends MGOPT to Bregman proximal gradient descent for constrained convex problems, proving global linear convergence across multiple coarse levels and validating on image reconstruction.