Strong convergence of inertial algorithms for solving equilibrium problems.
Dang Van HieuAviv GibaliPublished in: Optim. Lett. (2020)
Keyphrases
- stochastic shortest path
- optimization problems
- combinatorial optimization
- convex optimization problems
- iterative algorithms
- quadratic optimization problems
- benchmark problems
- constrained problems
- problems in artificial intelligence
- stationary points
- bilevel programming
- difficult problems
- mathematical programming
- partial solutions
- distributed constraint optimization
- discrete optimization
- test problems
- np complete problems
- np complete
- learning algorithm
- global optimization problems
- convergence rate
- metaheuristic
- constraint problems
- search heuristics
- solving problems
- run times
- graph coloring
- lp relaxation
- search methods
- combinatorial problems