1. Audet, C., Hare, W.: Derivative-free and blackbox optimization. Springer Series in Operations Research and Financial Engineering, Springer (2017)
2. Bandeira, A.S., Scheinberg, K., Vicente, L.N.: Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization. Mathematical Programming Series B 134, 223–257 (2012)
3. Baydin, A.G., Pearlmutter, B.A., Radul, A.A., Siskind, J.M.: Automatic differentiation in machine learning: a survey. J. Mach. Learn. Res. 18, 1–43 (2018). Editor: Léon Bottou
4. Berahas, A.S., Cao, L., Choromanskiy, K., Scheinberg, K.: A theoretical and empirical comparison of gradient approximations in derivative-free optimization. Tech. rep., Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA. arXiv:1905.01332v2 [math.OC] (2019)
5. Cocchi, G., Liuzzi, G., Papini, A., Sciandrone, M.: An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints. Comput. Optim. Appl. 69(2), 267–296 (2018)