Data-Driven Science and Engineering

DOI10.1017/9781009089517zbMath1487.68001OpenAlexW4286781802MaRDI QIDQ5068484

Steven L. Brunton, J. Nathan Kutz

Publication date: 6 April 2022

Full work available at URL: https://doi.org/10.1017/9781009089517

zbMATH Keywords

stochastic optimizationneural networkssupervised learningunsupervised learningsparsitymodel-order reductioncompressed sensing

Mathematics Subject Classification ID

Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Learning and adaptive systems in artificial intelligence (68T05) System identification (93B30) Application models in control theory (93C95) Operator-theoretic methods (93B28) Dynamical systems in control (37N35) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to systems and control theory (93-01) Informational aspects of data analysis and big data (94A16) Statistical aspects of big data and data science (62R07) Computational aspects of data analysis and big data (68T09)

Related Items (13)

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Uses Software

• Matlab
• R

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