Data-Driven Modeling & Scientific Computation (Paperback)

J. Nathan Kutz

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Idioma: inglés

Editorial: Oxford University Press, Oxford, 2026

0198929080 / 9780198929086

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Paperback. Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data is an accessible introductory-to-advanced textbook focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering. Its overarching goal is to develop techniques that allow for the integration of the dynamics of complex systems and bigdata.This comprehensive textbook provides a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation, data-drivenmodelling, and machine learning. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological, and physical sciences.The high-level programming language python is used throughout the book to implement and develop mathematical solution strategies. One specific aim of the book is to integrate standard scientific computing methods with the burgeoning field of data analysis, machine learning and Artificial Intelligence (AI). Thisarea of research is expanding at an incredible pace in the sciences due to the proliferation of data collection in almost every field of science.The enormous data sets routinelyencountered in the sciences now certainly give a big incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret, and give meaning to the data in the context of its scientific setting. This brings together, in a self-consistent fashion, the key ideas from (i) statistics, (ii) time-frequency analysis and (iii) low-dimensional reductions in order to provide meaningful insight into the data sets one is faced with in any scientific field today,including those generated from complex dynamic systems. This is a tremendously exciting area and much of this part of the book is driven by intuitive examples of how the three areas (i)-(iii) can be used incombination to give critical insight into the fundamental workings of various problems. An accessible introductory to advanced text focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

N° de ref. del artículo 9780198929086

Título
Data-Driven Modeling & Scientific Computation (Paperback)
Autor
J. Nathan Kutz
Editorial
Oxford University Press, Oxford
Año de publicación
2026
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 10
0198929080
ISBN 13
9780198929086
Edición
2ª Edición

Grand Eagle Retail

Bensenville, IL, Estados Unidos de America

Vendedor de 5 estrellas

Vendedor de AbeBooks desde 12 de octubre de 2005

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