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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Numerical Methods for Data Science |
| Sources of information |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Numerical Methods for Data Science | Code | 614G02033 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Fourth | Optional | 6 | ||||||||||
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| Basic |
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 (1995). Iterative Methods for Linear and Nonlinear Equations. SIAM
C.T. Kelley (1999). Iterative Methods for Optimization. SIAM
J Kiusalaas (2013). Numerical Methods in Engineering with Python 3. Cambridge University Press
A. Quarteroni & F. Saleri (2006). Calculo cientifico con Matlab y Octave. . Springer |
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| Complementary |
C.T. Kelley (2003). Solving Nonlinear Equations with Newton's Method. SIAM
D.R. Kincaid & E.W. Cheney (2022). Numerical Analysis: Mathematics of Scientific Computing. AMS
J.W. Demmel (1997). Applied Numerical Linear Algebra. SIAM
M. Locatelli & F. Schoen (2013). Global Optimization. Theory, Algorithms and Applications. SIAM
J. Nocedal & S.J. Wright (2006). Numerical Optimization. Springer
G. Strang (2019). Linear Algebra and Learning from Data. Wellesley Cambridge Press |
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