logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

The Statistical Physics Of Data Assimilation And Machine Learning Henry D I Abarbanel

  • SKU: BELL-38203260
The Statistical Physics Of Data Assimilation And Machine Learning Henry D I Abarbanel
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

The Statistical Physics Of Data Assimilation And Machine Learning Henry D I Abarbanel instant download after payment.

Publisher: Cambridge University Press
File Extension: PDF
File size: 142.24 MB
Pages: 207
Author: Henry D. I. Abarbanel
ISBN: 9781316519639, 1316519635
Language: English
Year: 2022

Product desciption

The Statistical Physics Of Data Assimilation And Machine Learning Henry D I Abarbanel by Henry D. I. Abarbanel 9781316519639, 1316519635 instant download after payment.

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Related Products