1. Abdi, F., Shakeri, F.: A globally convergent BFGS method for pseudo-monotone variational inequality problems. Optim. Methods Softw. 34(1), 25–36 (2019)
2. Applegate, D., Díaz, M., Hinder, O., Lu, H., Lubin, M., O’Donoghue, B., Schudy, W.: Practical large-scale linear programming using primal-dual hybrid gradient. arXiv preprint arXiv:2106.04756 (2021)
3. Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: PMLR, International Conference on Machine Learning, pp. 214–223 (2017)
4. Asl, A., Overton, M.L.: Analysis of the gradient method with an Armijo-Wolfe line search on a class of non-smooth convex functions. Optim. Methods Softw. 35(2), 223–242 (2020)
5. Atkinson, D.S., Vaidya, P.M.: A cutting plane algorithm for convex programming that uses analytic centers. Math. Program. 69(1), 1–43 (1995)