Linearized ADMM for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints.
Lahcen El BourkhissiIon NecoaraPanagiotis PatrinosPublished in: CDC (2023)
Keyphrases
- nonlinear programming
- equality constraints
- variational inequalities
- karush kuhn tucker
- image restoration and reconstruction
- alternating direction method of multipliers
- convex optimization
- optimality conditions
- optimization problems
- quadratic program
- inequality constraints
- linear constraints
- globally convergent
- linear programming
- quadratic programming problems
- constrained optimization problems
- convex quadratic optimization
- global optimization
- sensitivity analysis
- global convergence
- stationary points
- total variation
- mathematical programming
- objective function
- fixed point
- semidefinite programming
- quadratic programming
- convex sets
- evolutionary algorithm
- low rank
- optimization methods
- linear program
- image restoration
- np hard
- cost function