Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data

Langue : anglais

Edité par Oxford University Press, United Kingdom, Oxford, 2013

0199660344 / 9780199660346

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The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an 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. A specific aim of this book is to integrate standard scientific computing methods with data analysis. By doing so, it brings together, in a self-consistent fashion, the key ideas from: statistics, time-frequency analysis, and low-dimensional reductions The blend of these ideas provides meaningful insight into the data sets one is faced with in every scientific subject today, including those generated from complex dynamical systems. This is a particularly exciting field and much of the final part of the book is driven by intuitive examples from it, showing how the three areas can be used in combination to give critical insight into the fundamental workings of various problems. Data-Driven Modeling and Scientific Computation is a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation and analysis. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological and physical sciences. An accessible introductory-to-advanced text, this book fully integrates MATLAB and its versatile and high-level programming functionality, while bringing together computational and data skills for both undergraduate and graduate students in scientific computing. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

N° de réf. du vendeur GOR007672009

Titre
Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data
Auteur
J. Nathan Kutz (Professor of Applied Mathematics and Electrical and Computer Engineering, Professor of Applied Mathematics and Electrical and Computer Engineering, University of Washington)
Éditeur
Oxford University Press, United Kingdom, Oxford
Année de publication
2013
État de l'article
Very Good
Reliure
Paperback
Langue
anglais
ISBN à 10 chiffres
0199660344
ISBN à 13 chiffres
9780199660346
Poids de l'article
1 370 grammes
Dimensions
191 x 245

WorldofBooks

Goring-By-Sea, WS, Royaume-Uni

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 16 mars 2007

Frais d'expédition de Royaume-Uni vers Etats-Unis

Article7 à 12 jours ouvrés5 à 9 jours ouvrés
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In 2002, World of Books Group was founded on an ethos to do good, protect the planet and support charities by enabling more goods to be reused. Since then, we've grown into to a global company pioneering the circular economy. Today, we drive the circular economy through three re-commerce brands: - Wob: Through Wob, we sell. We provide affordable, preloved books and media to customers all over the world. A book leaves our collection of over seven million titles and begins a new chapter every two seconds, enabling more goods to be reused. - Ziffit: Through Ziffit, we buy. We give people around the world the opportunity to contribute to the circular economy, earn money and protect the planet, by trading their unwanted books and media. - Shopiago: Through Shopiago, we help others. By sharing the technology that has grown World of Books Group into the business it is today, we’re helping charities increase revenue and reduce waste through re-commerce.…

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