- Paul Dobson, Jesús María Sanz Serna, Konstantinos C. Zygalakis. On the Connections between Optimization Algorithms, Lyapunov Functions, and Differential Equations: Theory and Insights. SIAM Journal on Optimization, 35(1):537-566, 2025.
- Vera Roshchina, Levent Tunçel. Everything Is Possible: Constructing Spectrahedra with Prescribed Facial Dimensions. SIAM Journal on Optimization, 35(1):400-418, 2025.
- Mikhail V. Solodov. Convergence Properties of Proximal (Sub)gradient Methods without Convexity or Smoothness of Any of the Functions. SIAM Journal on Optimization, 35(1):28-41, 2025.
- Damek Davis, Dmitriy Drusvyatskiy, Zhan Shi. Stochastic Optimization Over Proximally Smooth Sets. SIAM Journal on Optimization, 35(1):157-179, 2025.
- Jongmin Lee, Soheun Yi, Ernest K. Ryu. Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs. SIAM Journal on Optimization, 35(1):270-301, 2025.
- Andreas Löhne. A Solution Method for Arbitrary Polyhedral Convex Set Optimization Problems. SIAM Journal on Optimization, 35(1):330-346, 2025.
- Albert S. Berahas, Miaolan Xie, Baoyu Zhou. A Sequential Quadratic Programming Method With High-Probability Complexity Bounds for Nonlinear Equality-Constrained Stochastic Optimization. SIAM Journal on Optimization, 35(1):240-269, 2025.
- Lei Huang. On the Complexity of Matrix Putinar's Positivstellensätz. SIAM Journal on Optimization, 35(1):567-591, 2025.
- Thai Doan Chuong, Cao Thanh Tinh. Stability Properties for Parametric Linear Programs under Data Ambiguities. SIAM Journal on Optimization, 35(1):92-115, 2025.
- Kananart Kuwaranancharoen, Shreyas Sundaram. On the Geometric Convergence of Byzantine-Resilient Distributed Optimization Algorithms. SIAM Journal on Optimization, 35(1):210-239, 2025.