Bibliografía básica R. Barrett, M. Berry, T.F. Chan, J. Demmel, J.M. Donato, J. Dongarra, V. Eijkhout, R. Pozo, C. Romin (1994). Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods. SIAM
R.L. Burden, D.J. Faires & A.M. Burden (2017). Análisis Numérico. CENCAGE Learning
C.T: Kelley (2003). Solving Nonlinear Equations with Newton's Method. SIAM
S. Linge & H.P. Langtangen (2020). Programming for Computations - Python. Soringer
J. Nocedal & S.J. Wright (2006). Numerical Optimization. Springer
A. Quarteroni & F. Saleri (2006). Calculo cientifico con Matlab y Octave. . Springer

Bibliografía complementaria J.W. Demmel (1997). Applied Numerical Linear Algebra. SIAM
C.T. Kelley (1995). Iterative Methods for Linear and Nonlinear Equations. SIAM
C.T. Kelley (1999). Iterative Methods for Optimization. SIAM
D.R. Kincaid & E.W. Cheney (2022). Numerical Analysis: Mathematics of Scientific Computing. AMS
J Kiusalaas (2013). Numerical Methods in Engineering with Python 3. Cambridge University Press
M. Locatelli & F. Schoen (2013). Global Optimization. Theory, Algorithms and Applications. SIAM
G. Strang (2019). Linear Algebra and Learning from Data. Wellesley Cambridge Press