Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints.
Huiling ZhangJun-Lin WangZi XuYu-Hong DaiPublished in: CoRR (2022)
Keyphrases
- primal dual
- variational inequalities
- linearly constrained
- convex functions
- interior point
- linear constraints
- nonlinear programming
- optimization problems
- convex optimization problems
- convex optimization
- linear programming
- quadratic program
- linear programming problems
- convex programming
- convex constraints
- linear program
- simplex algorithm
- interior point methods
- semidefinite programming
- combinatorial optimization
- convergence rate
- optimality conditions
- mathematical programming
- newton method
- worst case
- equality constraints
- stationary points
- convex sets
- objective function
- nash equilibrium
- duality gap
- image restoration and reconstruction