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Data-driven science and engineering : machine learning, dynamical systems, and control / 2nd ed

Data-driven science and engineering : machine learning, dynamical systems, and control / 2nd ed (Loan 1 times)

Material type
단행본
Personal Author
Brunton, Steven L. (Steven Lee), 1984- author. Kutz, Jose Nathan, author.
Title Statement
Data-driven science and engineering : machine learning, dynamical systems, and control / Steven L. Brunton, J. Nathan Kutz.
판사항
2nd ed.
Publication, Distribution, etc
Cambridge :   Cambridge University Press,   2022.  
Physical Medium
xxiv, 590 p. : ill. (some col.) ; 26 cm.
ISBN
9781009098489
요약
"Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics-informed machine learning, significant new sections throughout, and chapter exercises. Online supplementary material including lecture videos per section, homeworks, data, and codes in MATLAB, Python, and Julia available on databookuw.com"--
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Engineering --Data processing. Science --Data processing.
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020 ▼a 9781009098489 ▼q (hardback)
020 ▼z 9781009089517 ▼q (epub)
035 ▼a (KERIS)REF000019852935
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
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090 ▼a 620.00285631 ▼b B911d2
100 1 ▼a Brunton, Steven L. ▼q (Steven Lee), ▼d 1984- ▼e author.
245 1 0 ▼a Data-driven science and engineering : ▼b machine learning, dynamical systems, and control / ▼c Steven L. Brunton, J. Nathan Kutz.
250 ▼a 2nd ed.
260 ▼a Cambridge : ▼b Cambridge University Press, ▼c 2022.
264 1 ▼a Cambridge, United Kingdom, New York, NY : ▼b Cambridge University Press, ▼c 2022.
300 ▼a xxiv, 590 p. : ▼b ill. (some col.) ; ▼c 26 cm.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a unmediated ▼b n ▼2 rdamedia
338 ▼a volume ▼b nc ▼2 rdacarrier
504 ▼a Includes bibliographical references and index.
520 ▼a "Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics-informed machine learning, significant new sections throughout, and chapter exercises. Online supplementary material including lecture videos per section, homeworks, data, and codes in MATLAB, Python, and Julia available on databookuw.com"-- ▼c Provided by publisher.
650 0 ▼a Engineering ▼x Data processing.
650 0 ▼a Science ▼x Data processing.
700 1 ▼a Kutz, Jose Nathan, ▼e author.
945 ▼a ITMT

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 620.00285631 B911d2 Accession No. 111869887 Availability In loan Due Date 2023-01-11 Make a Reservation Available for Reserve R Service M

Contents information

Table of Contents

Part I. Dimensionality Reduction and Transforms: 1. Singular Value Decomposition; 2. Fourier and Wavelet Transforms; 3. Sparsity and Compressed Sensing; Part II. Machine Learning and Data Analysis: 4. Regression and Model Selection; 5. Clustering and Classification; 6. Neural Networks and Deep Learning; Part III. Dynamics and Control: 7. Data-Driven Dynamical Systems; 8. Linear Control Theory; 9. Balanced Models for Control; Part IV. Advanced Data-Driven Modeling and Control: 10. Data-Driven Control; 11. Reinforcement Learning; 12. Reduced Order Models (ROMs); 13. Interpolation for Parametric ROMs; 14. Physics-Informed Machine Learning.

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