Data-Driven Modeling & Scientific Computation

Data-Driven Modeling & Scientific Computation
Author: Jose Nathan Kutz
Publisher:
Total Pages: 657
Release: 2013-08-08
Genre: Computers
ISBN: 0199660336

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Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.


Data-Driven Modeling & Scientific Computation
Language: en
Pages: 657
Authors: Jose Nathan Kutz
Categories: Computers
Type: BOOK - Published: 2013-08-08 - Publisher:

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Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine lear
Data-Driven Modeling & Scientific Computation
Language: en
Pages: 657
Authors: J. Nathan Kutz
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2013-08-08 - Publisher: OUP Oxford

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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 enormo
Data-Driven Modeling & Scientific Computation
Language: en
Pages: 786
Authors: J. Nathan Kutz
Categories: Mathematics
Type: BOOK - Published: 2013-08-08 - Publisher: OUP Oxford

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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 enormo
Data-Driven Science and Engineering
Language: en
Pages: 615
Authors: Steven L. Brunton
Categories: Computers
Type: BOOK - Published: 2022-05-05 - Publisher: Cambridge University Press

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A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.
Dynamic Mode Decomposition
Language: en
Pages: 241
Authors: J. Nathan Kutz
Categories: Science
Type: BOOK - Published: 2016-11-23 - Publisher: SIAM

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Data-driven dynamical systems is a burgeoning field?it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-est