Data-Driven Modeling & Scientific Computation

Data-Driven Modeling & Scientific Computation
Author :
Publisher :
Total Pages : 657
Release :
ISBN-10 : 9780199660339
ISBN-13 : 0199660336
Rating : 4/5 (336 Downloads)

Book Synopsis Data-Driven Modeling & Scientific Computation by : Jose Nathan Kutz

Download or read book Data-Driven Modeling & Scientific Computation written by Jose Nathan Kutz and published by . This book was released on 2013-08-08 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Related Books

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

DOWNLOAD EBOOK

Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine lear
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

DOWNLOAD EBOOK

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

DOWNLOAD EBOOK

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
Modeling with Data
Language: en
Pages: 471
Authors: Ben Klemens
Categories: Mathematics
Type: BOOK - Published: 2008-10-06 - Publisher: Princeton University Press

DOWNLOAD EBOOK

Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods f
Data-Driven Computational Methods
Language: en
Pages: 171
Authors: John Harlim
Categories: Computers
Type: BOOK - Published: 2018-07-12 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Describes computational methods for parametric and nonparametric modeling of stochastic dynamics. Aimed at graduate students, and suitable for self-study.