- Marco Locatelli 0001. A new technique to derive tight convex underestimators (sometimes envelopes). Comp. Opt. and Appl., 87(2):475-499, March 2024.
- Shuotao Diao, Suvrajeet Sen. Distribution-free algorithms for predictive stochastic programming in the presence of streaming data. Comp. Opt. and Appl., 87(2):355-395, March 2024.
- Ensio Suonperä, Tuomo Valkonen. Linearly convergent bilevel optimization with single-step inner methods. Comp. Opt. and Appl., 87(2):571-610, March 2024.
- Claire Boyer, Antoine Godichon-Baggioni. Correction: On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions. Comp. Opt. and Appl., 87(2):705-706, March 2024.
- Roger Behling, Yunier Bello-Cruz, Alfredo N. Iusem, Di Liu, Luiz-Rafael Santos. A successive centralized circumcentered-reflection method for the convex feasibility problem. Comp. Opt. and Appl., 87(1):83-116, January 2024.
- Yassine Nabou, Ion Necoara. Efficiency of higher-order algorithms for minimizing composite functions. Comp. Opt. and Appl., 87(2):441-473, March 2024.
- Mikhail A. Karapetyants. A fast continuous time approach for non-smooth convex optimization using Tikhonov regularization technique. Comp. Opt. and Appl., 87(2):531-569, March 2024.
- Shiwei Wang, Chao Ding. Local convergence analysis of augmented Lagrangian method for nonlinear semidefinite programming. Comp. Opt. and Appl., 87(1):39-81, January 2024.
- A. Mohammadi, Ana Luísa Custódio. A trust-region approach for computing Pareto fronts in multiobjective optimization. Comp. Opt. and Appl., 87(1):149-179, January 2024.
- Annalisa Greco, Francesco Cannizzaro, Riccardo Bruno, Alessandro Pluchino. A nested genetic algorithm strategy for an optimal seismic design of frames. Comp. Opt. and Appl., 87(2):677-704, March 2024.