- 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.
- 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.
- 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.
- Christian Günther, Bahareh Khazayel, Christiane Tammer. Nonlinear Cone Separation Theorems in Real Topological Linear Spaces. SIAM Journal on Optimization, 34(1):225-250, March 2024.
- Nikita Doikov, Konstantin Mishchenko, Yurii E. Nesterov. Super-Universal Regularized Newton Method. SIAM Journal on Optimization, 34(1):27-56, March 2024.
- Honglin Luo, Xianfu Wang, Xinmin Yang. Various Notions of Nonexpansiveness Coincide for Proximal Mappings of Functions. SIAM Journal on Optimization, 34(1):642-653, March 2024.
- Weiwei Kong, Renato D. C. Monteiro. Global Complexity Bound of a Proximal ADMM for Linearly Constrained Nonseparable Nonconvex Composite Programming. SIAM Journal on Optimization, 34(1):201-224, March 2024.
- Hanyang Li, Ying Cui. A Decomposition Algorithm for Two-Stage Stochastic Programs with Nonconvex Recourse Functions. SIAM Journal on Optimization, 34(1):306-335, March 2024.
- Alexandre d'Aspremont, Cristóbal Guzmán, Clément Lezane. Optimal Algorithms for Stochastic Complementary Composite Minimization. SIAM Journal on Optimization, 34(1):163-189, March 2024.