Mark Theodoor De Berg, Marc Van Kreveld, Mark Overmars, and Otfried Schwarzkopf. Computational geometry: algorithms and applications. Springer Science & Business Media, 2000.
Diederik P. Kingma and Jimmy Ba. Adam: A method for stochastic optimization, 2017.
R.J. LeVeque. Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-Dependent Problems. Other Titles in Applied Mathematics. Society for Industrial and Applied Mathematics, 2007.
M. Nixon. Feature Extraction & Image Processing. Feature Extraction and Image Processing. Elsevier Science, 2008.
Fernando Pujaico Rivera. Métodos numéricos: Problemas não lineares e inversos. 1ra edition, agosto 2020.
Sebastian Ruder. An overview of gradient descent optimization algorithms, 2017.
Xin She Yang and Xingshi He. Firefly algorithm: recent advances and applications. International Journal of Swarm Intelligence, 1(1):36, 2013.
Xin-She Yang. Firefly algorithms for multimodal optimization. In Osamu Watanabe and Thomas Zeugmann, editors, Stochastic Algorithms: Foundations and Applications, pages 169–178, Berlin, Heidelberg, 2009. Springer Berlin Heidelberg.
Xin-She Yang. Nature-inspired metaheuristic algorithms. Luniver press, 2010.