Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions.
Vassilis ApidopoulosJean-François AujolCharles DossalAude RondepierrePublished in: Math. Program. (2021)
Keyphrases
- convergence rate
- cost function
- detection algorithm
- worst case
- objective function
- np hard
- learning algorithm
- primal dual
- optimal solution
- global convergence
- expectation maximization
- optimization method
- conjugate gradient
- global optimum
- optimization methods
- recognition algorithm
- linear program
- kalman filter
- computational efficiency
- linear programming
- multi objective