Bibliografía

  • Brunton, S. L., & Kutz, J. N. (2022). Data-driven science and engineering: Machine learning, dynamical systems, and control. Cambridge University Press.
  • Pipes, L. A., & Harvill, L. R. (2014). Applied mathematics for engineers and physicists. Courier Corporation.
  • Sobolev, S. L. (2014). Partial Differential Equations of Mathematical Physics: Adiwes International Series in Mathematics. Elsevier.
  • Weber, H. J., & Arfken, G. B. (2003). Essential mathematical methods for physicists, ISE. Elsevier.
  • Strogatz, S. H. (2018). Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering. CRC press.
  • Dinamica no lineal, Gabriel Mindlin, Editorial de la Universidad nacional de Quilmes (2018)
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