1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.OC2023
A Lagrangian-Based Method with "False Penalty'' for Linearly Constrained Nonconvex Composite Optimization
Jong Gwang Kim
We introduce a primal-dual framework for solving linearly constrained nonconvex composite optimization problems. Our approach is based on a newly developed Lagrangian, which incorp…
math.OC2023
A New Lagrangian-Based First-Order Method for Nonconvex Constrained Optimization
Jong Gwang Kim
We introduce a new form of Lagrangian and propose a simple first-order algorithm for nonconvex optimization with nonlinear equality constraints. We show the algorithm generates bou…
cs.GT2021★ 1 cited
Equilibrium Computation of Generalized Nash Games: A New Lagrangian-Based Approach
Jong Gwang Kim
This paper presents a new primal-dual method for computing an equilibrium of generalized (continuous) Nash game (referred to as generalized Nash equilibrium problem (GNEP)) where e…