BALA, a single-loop bundle-based augmented Lagrangian algorithm, achieves sublinear convergence for convex constrained problems and linear convergence for a class of conic programs including semidefinite programs.
Handbook of semidefinite programming: theory, algorithms, and applications , volume 27
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
math.OC 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
A Bundle-based Augmented Lagrangian Framework: Algorithm, Convergence, and Primal-dual Principles
BALA, a single-loop bundle-based augmented Lagrangian algorithm, achieves sublinear convergence for convex constrained problems and linear convergence for a class of conic programs including semidefinite programs.