Sublinear and Linear Convergence of Modified ADMM for Distributed Nonconvex Optimization.
Xinlei YiShengjun ZhangTao YangTianyou ChaiKarl Henrik JohanssonPublished in: IEEE Trans. Control. Netw. Syst. (2023)
Keyphrases
- optimization problems
- convex optimization
- alternating direction method of multipliers
- global optimization
- mathematical program
- globally convergent
- optimization algorithm
- global convergence
- evolutionary multiobjective
- stationary points
- nonlinear programming
- cooperative
- faster convergence
- nonlinear optimization problems
- image restoration and reconstruction
- augmented lagrangian method
- distributed systems
- constrained optimization
- line search
- distributed environment
- convergence rate
- quasi newton
- quadratic programming
- semidefinite
- lagrange multipliers
- evolutionary algorithm
- mathematical programming
- multi agent
- optimization method
- convex relaxation
- denoising
- gauss seidel
- multi objective
- space complexity