- Kaizhao Sun, Mou Sun, Wotao Yin. Decomposition Methods for Global Solution of Mixed-Integer Linear Programs. SIAM Journal on Optimization, 34(2):1206-1235, 2024.
- Xuan Zhang, Necdet Serhat Aybat, Mert Gürbüzbalaban. Robust Accelerated Primal-Dual Methods for Computing Saddle Points. SIAM Journal on Optimization, 34(1):1097-1130, March 2024.
- Sihan Zeng, Thinh T. Doan 0001, Justin Romberg. A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. SIAM Journal on Optimization, 34(1):946-976, March 2024.
- Wenqing Ouyang, Yang Liu, Andre Milzarek. Descent Properties of an Anderson Accelerated Gradient Method with Restarting. SIAM Journal on Optimization, 34(1):336-365, March 2024.
- Johannes Milz, Michael Ulbrich. Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization. SIAM Journal on Optimization, 34(1):844-869, March 2024.
- Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong. Generalized Power Cones: Optimal Error Bounds and Automorphisms. SIAM Journal on Optimization, 34(2):1316-1340, 2024.
- Zhe Sun, Lei Wu. Hybrid Algorithms for Finding a D-Stationary Point of a Class of Structured Nonsmooth DC Minimization. SIAM Journal on Optimization, 34(1):485-506, March 2024.
- Sergio Cristancho, Mauricio Velasco. Harmonic Hierarchies for Polynomial Optimization. SIAM Journal on Optimization, 34(1):590-615, March 2024.
- Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan. Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs. SIAM Journal on Optimization, 34(1):1131-1156, March 2024.
- David L. Applegate, Mateo Díaz, Haihao Lu, Miles Lubin. Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming. SIAM Journal on Optimization, 34(1):459-484, March 2024.