- Shisen Liu, Xiaojun Chen 0001. Lifted stationary points of sparse optimization with complementarity constraints. Comp. Opt. and Appl., 84(3):973-1003, April 2023.
- Renaud Chicoisne. Computational aspects of column generation for nonlinear and conic optimization: classical and linearized schemes. Comp. Opt. and Appl., 84(3):789-831, April 2023.
- Giulia Ferrandi, Michiel E. Hochstenbach, Natasa Krejic. A harmonic framework for stepsize selection in gradient methods. Comp. Opt. and Appl., 85(1):75-106, May 2023.
- Masoumeh Hashemi, Roland Herzog, Thomas M. Surowiec. Optimal control of the stationary Kirchhoff equation. Comp. Opt. and Appl., 85(2):479-508, June 2023.
- Juan Gao, Xinwei Liu, Yu-Hong Dai, Yakui Huang, Junhua Gu. Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization. Comp. Opt. and Appl., 84(2):531-572, March 2023.
- Francesco Rinaldi, Damiano Zeffiro. Avoiding bad steps in Frank-Wolfe variants. Comp. Opt. and Appl., 84(1):225-264, 2023.
- Yan Gu, Jianlin Jiang, Shun Zhang. Distributionally robust Weber problem with uncertain demand. Comp. Opt. and Appl., 85(3):705-752, July 2023.
- Hezhi Luo, Xianye Zhang, Huixian Wu, WeiQiang Xu. Effective algorithms for separable nonconvex quadratic programming with one quadratic and box constraints. Comp. Opt. and Appl., 86(1):199-240, September 2023.
- Wen Huang 0001, Ke Wei. An inexact Riemannian proximal gradient method. Comp. Opt. and Appl., 85(1):1-32, May 2023.
- Drew P. Kouri, Mathias Staudigl, Thomas M. Surowiec. A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints. Comp. Opt. and Appl., 85(2):441-478, June 2023.