1. Grégoire, A.: Numerical Analysis and Optimization An introduction to mathematical modeling and numerical simulation. Oxford University Press; Illustrated edition (July 19: 472 pages. ISBN- 10, 9780805839852 (2007)
2. Md, Z.A., Tarek, M.T., Chris, Y., Stefan, W., Paheding, S., Mst, S.N., Mahmudul, H., Brian, C.V.E., Abdul, A.S.A., Vijayan, K.A.: A state-of-the-art survey on deep learning theory and architectures. Electronics 8(3), 292 (2019). https://doi.org/10.3390/electronics8030292
3. Ali, M.A., Hiam, A., Isam, A.Q., Amin, A., Wafaa, A.S.: Brain tumor classification using deep learning technique—a comparison between cropped, uncropped, and segmented lesion images with different sizes. Int. J. Adv. Trends Comput. Sci. Eng. 8(6), 2 (2019)
4. David, A.: Lévy processes and stohastic calculus, Cambridge Studies In Advanced Mathematics, 2nd Edition, (April 1, 2009). ISBN-10: 0521738652
5. Barles, G., Buckdahn, R., Pardoux, E.: Backward stochastic differential equations and integral-partial differential equations. Stochas. Stocha. Rep. 60, 57–83 (1996)