1 citations · 2 across the 9 of their papers we have counts for
3 papers · 1 filter
General Derivative-Free Optimization Methods under Global and Local Lipschitz Continuity of Gradients
Pham Duy Khanh, Boris S. Mordukhovich, Dat Ba Tran
This paper addresses the study of derivative-free smooth optimization problems, where the gradient information on the objective function is unavailable. Two novel general derivativ…
Inexact proximal methods for weakly convex functions
Pham Duy Khanh, Boris Mordukhovich, Vo Thanh Phat +1
This paper proposes and develops inexact proximal methods for finding stationary points of the sum of a smooth function and a nonsmooth weakly convex one, where an error is present…
A New Inexact Gradient Descent Method with Applications to Nonsmooth Convex Optimization
Pham Duy Khanh, Boris S. Mordukhovich, Dat Ba Tran
The paper proposes and develops a novel inexact gradient method (IGD) for minimizing C1-smooth functions with Lipschitzian gradients, i.e., for problems of C1,1 optimization. We sh…