A stochastic two-step inertial Bregman proximal alternating linearized minimization algorithm for nonconvex and nonsmooth problems.
Chenzheng GuoJing ZhaoQiao-Li DongPublished in: Numer. Algorithms (2024)
Keyphrases
- objective function
- quadratic optimization problems
- dynamic programming
- computational complexity
- learning algorithm
- worst case
- monte carlo
- linear programming
- optimization problems
- energy function
- evolutionary algorithm
- benchmark problems
- theoretical guarantees
- particle swarm optimization
- kalman filter
- convergence rate
- quadratic programming
- stationary points
- image restoration and reconstruction
- np hard