1. Beck, A.: First-Order Methods in Optimization. SIAM, New Delhi (2017)
2. Bubeck, S., Lee, Y.T., Singh, M.: A geometric alternative to Nesterov’s accelerated gradient descent (2015). arXiv:1506.08187
3. Buhler, C.K., Benson, H., Shanno, D.: Regularized step directions in conjugate gradient minimization for machine learning (2021). ArXiv preprint arXiv:2110.06308
4. Carmon, Y., Duchi, J.C., Hinder, O., Sidford, A.: Convex until proven guilty: dimension-free acceleration of gradient descent on non-convex functions. In: Proceedings of 2017 International Conference on Machine Learning (2017)
5. Cohen, A.: Rate of convergence of several conjugate gradient algorithms. SIAM J. Numer. Anal. 9(2), 248–259 (1972)