- Kay Barshad, Aviv Gibali, Simeon Reich. Unrestricted Douglas-Rachford algorithms for solving convex feasibility problems in Hilbert space. Optimization Methods and Software, 38(4):655-667, July 2023.
- Xuyang Wu, Kin Cheong Sou, Jie Lu 0007. A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks. Optimization Methods and Software, 38(4):813-836, July 2023.
- Albert S. Berahas, Oumaima Sohab, Luís Nunes Vicente. Full-low evaluation methods for derivative-free optimization. Optimization Methods and Software, 38(2):386-411, March 2023.
- Xianzhen Jiang, Huihui Yang, Jinbao Jian, Xiaodi Wu. Two families of hybrid conjugate gradient methods with restart procedures and their applications. Optimization Methods and Software, 38(5):947-974, September 2023.
- Henrik A. Friberg. Projection onto the exponential cone: a univariate root-finding problem. Optimization Methods and Software, 38(3):457-473, May 2023.
- Artem Vasin, Alexander V. Gasnikov, Pavel E. Dvurechensky, Vladimir G. Spokoiny. Accelerated gradient methods with absolute and relative noise in the gradient. Optimization Methods and Software, 38(6):1180-1229, November 2023.
- Mauro Passacantando, Fabio Raciti. A finite convergence algorithm for solving linear-quadratic network games with strategic complements and bounded strategies. Optimization Methods and Software, 38(6):1105-1128, November 2023.
- Li-Ping Pang 0001, Ming-Kun Zhang, Xiantao Xiao. A stochastic approximation method for convex programming with many semidefinite constraints. Optimization Methods and Software, 38(1):34-58, January 2023.
- Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles. HyKKT: a hybrid direct-iterative method for solving KKT linear systems. Optimization Methods and Software, 38(2):332-355, March 2023.
- Jiefeng Xu, Dong-Hui Li, Xueli Bai. Z-eigenvalue problems. Optimization Methods and Software, 38(3):510-528, May 2023.