- 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.
- Ruyu Liu, Shaohua Pan, Yuqia Wu, Xiaoqi Yang 0001. An inexact regularized proximal Newton method for nonconvex and nonsmooth optimization. Comp. Opt. and Appl., 88(2):603-641, June 2024.
- Ensio Suonperä, Tuomo Valkonen. Linearly convergent bilevel optimization with single-step inner methods. Comp. Opt. and Appl., 87(2):571-610, March 2024.
- Einosuke Iida, Makoto Yamashita. An infeasible interior-point arc-search method with Nesterov's restarting strategy for linear programming problems. Comp. Opt. and Appl., 88(2):643-676, June 2024.
- Paul R. Arbic II, Vladislav Bukshtynov. Efficient gradient-based optimization for reconstructing binary images in applications to electrical impedance tomography. Comp. Opt. and Appl., 88(1):379-403, May 2024.
- Paul-Emile Maingé, André Weng-Law. Accelerated forward-backward algorithms for structured monotone inclusions. Comp. Opt. and Appl., 88(1):167-215, May 2024.
- Max Grieshammer, Lukas Pflug, Michael Stingl, Andrian Uihlein. The continuous stochastic gradient method: part II-application and numerics. Comp. Opt. and Appl., 87(3):977-1008, April 2024.
- Elisabeth Diehl, Johannes Haubner, Michael Ulbrich, Stefan Ulbrich. Correction to: Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension. Comp. Opt. and Appl., 87(3):753-754, April 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.