On the Global Convergence of Randomized Coordinate Gradient Descent for Nonconvex Optimization.
Ziang ChenYingzhou LiJianfeng LuPublished in: SIAM J. Optim. (2023)
Keyphrases
- global convergence
- globally convergent
- optimization methods
- global optimum
- objective function
- convergence analysis
- convergence speed
- convergence rate
- optimization problems
- constrained optimization problems
- convex minimization
- cost function
- coordinate ascent
- line search
- global optimization
- optimization method
- particle swarm
- autocalibration
- artificial neural networks
- linear programming
- newton method
- gauss newton
- unconstrained optimization
- multi objective
- step size
- support vector
- particle swarm optimization
- optimal solution
- simulated annealing
- conjugate gradient
- convex optimization
- neural network
- linear program