An Approximate Dual Subgradient Algorithm for Multi-Agent Non-Convex Optimization.
Minghui ZhuSonia MartínezPublished in: IEEE Trans. Autom. Control. (2013)
Keyphrases
- convex optimization
- primal dual
- dual formulation
- dynamic programming
- np hard
- augmented lagrangian
- convergence rate
- convex formulation
- cost function
- objective function
- linear programming
- learning algorithm
- convex relaxation
- similarity measure
- norm minimization
- augmented lagrangian method
- image processing
- computational complexity
- reinforcement learning
- low rank
- multiscale
- quadratic programming
- convex programming
- image sequences