Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Numerical Methods for Data Science |
Sources of information |
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Identifying Data | 2023/24 | |||||||||||||
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 (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 |
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Complementary |
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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