Data-Driven Computational Methods: Parameter and Operator Estimations
Autor John Harlimen Limba Engleză Hardback – 11 iul 2018
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Specificații
ISBN-13: 9781108472470
ISBN-10: 1108472478
Pagini: 168
Ilustrații: 35 b/w illus. 7 colour illus.
Dimensiuni: 178 x 253 x 13 mm
Greutate: 0.5 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
ISBN-10: 1108472478
Pagini: 168
Ilustrații: 35 b/w illus. 7 colour illus.
Dimensiuni: 178 x 253 x 13 mm
Greutate: 0.5 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
Cuprins
1. Introduction; 2. Markov chain Monte Carlo; 3. Ensemble Kalman filters; 4. Stochastic spectral methods; 5. Karhunen–Loève expansion; 6. Diffusion forecast; Appendix A. Elementary probability theory; Appendix B. Stochastic processes; Appendix C. Elementary differential geometry; References; Index.
Recenzii
'The MATLAB code used for the examples in the book can be downloaded from the publisher's website; the scripts are short, well commented and can be understood without difficulty (even if you are not a MATLAB expert).' Fabio Mainardi, MAA Reviews
Notă biografică
Descriere
Describes computational methods for parametric and nonparametric modeling of stochastic dynamics. Aimed at graduate students, and suitable for self-study.