A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach

Documenti analoghi

• Efficient parameter-free restarted accelerated gradient methods for convex and strongly convex optimization
  di: Sujanani, Arnesh, et al.
  Pubblicazione: (2024)
• cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming
  di: Aguirre, Jacob M., et al.
  Pubblicazione: (2025)
• A User Manual for cuHALLaR: A GPU Accelerated Low-Rank Semidefinite Programming Solver
  di: Aguirre, Jacob, et al.
  Pubblicazione: (2025)
• Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
  di: Deng, Kangkang, et al.
  Pubblicazione: (2024)
• A first-order augmented Lagrangian method for constrained minimax optimization
  di: Lu, Zhaosong, et al.
  Pubblicazione: (2023)