Data-Driven Modeling & Scientific Computation - Methods for Complex Systems & Big Data - Hardback - 2013
J. Nathan Kutz
Resumo
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.
Year of publication: 2013
Pagination: 656 pages, 200 b/w line drawings, 20 b/w halftones
Format: Hardback
Year of publication: 2013
Pagination: 656 pages, 200 b/w line drawings, 20 b/w halftones
Format: Hardback
Data-Driven Modeling & Scientific Computation - Methods for...
Resumo
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.
Year of publication: 2013
Pagination: 656 pages, 200 b/w line drawings, 20 b/w halftones
Format: Hardback
Year of publication: 2013
Pagination: 656 pages, 200 b/w line drawings, 20 b/w halftones
Format: Hardback
Publicidade
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Características
- Editora
-
Oxford University Press
- Idiomas
-
Inglês
- Dimensão
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252 x 190 x 43
- Peso
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1526
- Colecção
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Data analysis: general
- Tema
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Data analysis: general|Complex analysis, complex variables|Numerical analysis|Algorithms & data structures
- Origem
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United Kingdom
- EAN
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9780199660339
Publicidade
Publicidade