6 citations · 7 across the 3 of their papers we have counts for
3 papers
math.OC2022
New Penalized Stochastic Gradient Methods for Linearly Constrained Strongly Convex Optimization
Meng Li, Paul Grigas, Alper Atamturk
For minimizing a strongly convex objective function subject to linear inequality constraints, we consider a penalty approach that allows one to utilize stochastic methods for probl…
math.OC2017★ 1 cited
On Capacity Models for Network Design
Alper Atamturk, Oktay Gunluk
In network design problems capacity constraints are modeled in three different ways depending on the application and the underlying technology for installing capacity: directed, bi…
math.OC2017★ 6 cited
A Scalable Semidefinite Relaxation Approach to Grid Scheduling
Ramtin Madani, Alper Atamturk, Ali Davoudi
Determination of the most economic strategies for supply and transmission of electricity is a daunting computational challenge. Due to theoretical barriers, so-called NP-hardness,…