Data-Driven Modeling & Scientific Computation

Methods for Complex Systems & Big Data

Autor: J. Nathan Kutz

Język:

Oprawa: Twarda

Wydawca: Oxford University Press

Dostępność: Dostępna u dostawcy

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The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of...

Informacje o książce

Autor

J. Nathan Kutz

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2013

strony

658

EAN

9780199660339

ISBN

0199660336

Enbook ID

04534477

Wydawca

Oxford University Press

Waga

1526

Wymiary

190 x 252 x 43

Pełny opis

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.

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Data-Driven Modeling & Scientific Computation

Methods for Complex Systems & Big Data

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