Data-Driven Science and Engineering by Steven L. Brunton 9781009115636 1009115634

Data-Driven Science and Engineering Steven L. Brunton – Ebook Instant Download/Delivery ISBN(s): 9781009098489, 1009098489, 9781009115636, 1009115634

Product details:

• ISBN 10: 9781009115636
• ISBN 13: 9781009115636
• Author: Steven L. Brunton 

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 code in MATLAB®, Python, Julia, and R – available on databookuw.com.

Table contents:

Part I Dimensionality Reduction and Transforms

1 Singular Value Decomposition (SVD)

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 Reduced-Order Models

14 Physics-Informed Machine Learning

People also search:

data-driven science and engineering 2nd edition pdf

steve brunton data driven science and engineering

data-driven science and engineering 2nd edition

data-driven science and engineering machine learning

data-driven science and engineering second edition