Data-Driven Modeling & Scientific Computation

Methods for Complex Systems & Big Data

Nonfiction, Science & Nature, Mathematics, Applied, Computers, General Computing, Reference & Language, Reference
Cover of the book Data-Driven Modeling & Scientific Computation by J. Nathan Kutz, OUP Oxford
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: J. Nathan Kutz ISBN: 9780191635885
Publisher: OUP Oxford Publication: August 8, 2013
Imprint: OUP Oxford Language: English
Author: J. Nathan Kutz
ISBN: 9780191635885
Publisher: OUP Oxford
Publication: August 8, 2013
Imprint: OUP Oxford
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from OUP Oxford

Cover of the book Criminal Justice: A Very Short Introduction by J. Nathan Kutz
Cover of the book The International Court of Justice and the Judicial Function by J. Nathan Kutz
Cover of the book Philosophy Bites Again by J. Nathan Kutz
Cover of the book Quantum Electronics for Atomic Physics and Telecommunication by J. Nathan Kutz
Cover of the book What is Life? by J. Nathan Kutz
Cover of the book Polymyalgia Rheumatica and Giant Cell Arteritis by J. Nathan Kutz
Cover of the book Dividends of Development by J. Nathan Kutz
Cover of the book What is Rhetoric? by J. Nathan Kutz
Cover of the book So You Think You Know Thomas Hardy? by J. Nathan Kutz
Cover of the book An Introduction to Non-Perturbative Foundations of Quantum Field Theory by J. Nathan Kutz
Cover of the book Charles Darwin by J. Nathan Kutz
Cover of the book Private Foundations by J. Nathan Kutz
Cover of the book Technology and Urbanism in Late Bronze Age Egypt by J. Nathan Kutz
Cover of the book Evidentialism and its Discontents by J. Nathan Kutz
Cover of the book Charles Dickens's Networks by J. Nathan Kutz
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy