activity
20082026
most citedExact Convex Relaxation of Optimal Power Flow in Radial Networks

497 citations · 2.1k across the 297 of their papers we have counts for

collaborators
Showing 2022 · math.OCShow all

6 papers · 2 filters

math.OC2022★ 1 cited

Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems

Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu

Saddle-point problems appear in various settings including machine learning, zero-sum stochastic games, and regression problems. We consider decomposable saddle-point problems and…

math.OC2022

Real-Time Quadrotor Trajectory Optimization with Time-Triggered Corridor Constraints

Yue Yu, Kartik Nagpal, Skye Mceowen +2

One of the keys to flying quadrotors is to optimize their trajectories within the set of collision-free corridors. These corridors impose nonconvex constraints on the trajectories,…

math.OC2022★ 2 cited

On-the-fly control of unknown nonlinear systems with sublinear regret

Abraham P. Vinod, Arie Israel, Ufuk Topcu

We study the problem of data-driven, constrained control of unknown nonlinear dynamics from a single ongoing and finite-horizon trajectory. We consider a one-step optimal control p…

math.OC2022★ 1 cited

Deceptive Planning for Resource Allocation

Shenghui Chen, Yagiz Savas, Mustafa O. Karabag +2

We consider a team of autonomous agents that navigate in an adversarial environment and aim to achieve a task by allocating their resources over a set of target locations. An adver…

math.OC2022

Vertiport Selection in Hybrid Air-Ground Transportation Networks via Mathematical Programs with Equilibrium Constraints

Yue Yu, Mengyuan Wang, Mehran Mesbahi +1

Urban air mobility is a concept that promotes aerial modes of transport in urban areas. In these areas, the location and capacity of the vertiports--where the travelers embark and…

math.OC2022

Extrapolated Proportional-Integral Projected Gradient Method for Conic Optimization

Yue Yu, Purnanand Elango, Behçet Açıkmeşe +1

Conic optimization is the minimization of a convex quadratic function subject to conic constraints. We introduce a novel first-order method for conic optimization, named \emph{extr…