A Fully Parallel Distributed Algorithm for Non-Smooth Convex Optimization with Coupled Constraints: Application to Linear Algebraic Equations.
Seyyed Shaho AlavianiAtul G. KelkarUmesh VaidyaPublished in: ACC (2022)
Keyphrases
- algebraic equations
- convex optimization
- dynamic programming
- learning algorithm
- convex constraints
- np hard
- convergence rate
- constrained optimization
- total variation
- parallel distributed
- primal dual
- optimization algorithm
- simulated annealing
- k means
- norm minimization
- optimal solution
- objective function
- parallel genetic algorithm
- convex formulation
- feature extraction