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Facultad de Informática
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Grao en Ciencia e Enxeñaría de Datos
 Asignaturas
  Métodos Numéricos para Ciencia de Datos
   Fuentes de información
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

Complementária 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

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