Convergence rates for an inertial algorithm of gradient type associated to a smooth non-convex minimization.
Szilárd Csaba LászlóPublished in: Math. Program. (2021)
Keyphrases
- convergence rate
- learning algorithm
- global convergence
- detection algorithm
- dynamic programming
- worst case
- expectation maximization
- convex minimization
- gradient method
- convergence speed
- recognition algorithm
- optimization algorithm
- linear programming
- np hard
- computational efficiency
- global optimum
- cost function
- decomposition methods
- support vector
- objective function