An approximation proximal gradient algorithm for nonconvex-linear minimax problems with nonconvex nonsmooth terms.
Jiefei HeHuiling ZhangZi XuPublished in: J. Glob. Optim. (2024)
Keyphrases
- quadratic optimization problems
- objective function
- benchmark problems
- linear systems
- dynamic programming
- optimization problems
- cost function
- computational complexity
- globally convergent
- worst case
- stationary points
- optimal solution
- convex quadratic programming
- combinatorial optimization
- particle swarm optimization
- mathematical programming
- simulated annealing
- k means
- closed form
- monte carlo
- evaluation function
- constrained optimization
- linear programming
- semidefinite programming
- autocalibration
- approximation schemes
- np hard
- mathematical program
- lower bound