Showing math.OCShow all
2 papers · 1 filter
math.OC2025
Beyond Convexity: Proximal-Perturbed Lagrangian Methods for Efficient Functional Constrained Optimization
Sang Bin Moon, Jong Gwang Kim, Ashish Chandra +2
Non-convex functional constrained optimization problems have gained substantial attention in machine learning and data science, addressing broad requirements that typically go beyo…
math.OC2025
A Primal-Dual Gradient Descent Approach to the Connectivity Constrained Sensor Coverage Problem
Mathias Bock Agerman, Ziqiao Zhang, Jong Gwang Kim +2
Sensor networks play a critical role in many situational awareness applications. In this paper, we study the problem of determining sensor placements to balance coverage and connec…