A Gauss-Seidel type inertial proximal alternating linearized minimization for a class of nonconvex optimization problems.
Xue GaoXingju CaiDeren HanPublished in: J. Glob. Optim. (2020)
Keyphrases
- optimization problems
- objective function
- gauss seidel method
- evolutionary algorithm
- nonlinear programming
- gauss seidel
- metaheuristic
- convex optimization problems
- linear equations
- cost function
- optimization methods
- linear programming
- kalman filter
- convex functions
- sufficient conditions
- dynamic model
- nonlinear optimization
- image restoration and reconstruction