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Optimization a bootcamp for machine learning, inverse problems, and control Steven L. Brunton

Cambridge eBooks: Frontlist 2026 Available online

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Format:
Book
Author/Creator:
Brunton, Steven L. (Steven Lee), 1984- author.
Language:
English
Subjects (All):
Mathematical optimization.
Mathematical optimization--Data processing.
Machine learning.
Inverse problems (Differential equations).
Physical Description:
1 online resource
Place of Publication:
Cambridge Cambridge University Press 2026
Summary:
"Optimization is a foundational topic in mathematics, underpinning nearly all of our modern industrial and technological world. Assuming only basic knowledge of linear algebra and calculus, this book provides a rapid, yet thorough, overview of applied mathematical optimization for advanced undergraduates, beginning graduate students, or practitioners in science and engineering. The text opens with an “Optimization Bootcamp”, introducing methods at a beginning level, before progressing to deep-dives into advanced topics and research-ready methods. The focus throughout is on modern applications of machine learning, inverse problems, and control. Rich pedagogy includes Python code with simple working examples and advanced case studies. Every section is accompanied by YouTube lectures to encourage interaction with the material. Using intuitive explanations, this book makes the material as simple and interesting as possible, while still having the depth, breadth and precision required to empower use in research and real-world applications"-- Cambridge Core
Contents:
Optimization bootcamp
Gradient based optimization
Linear programming
Least-squares regression
Nonsmooth and global optimization
Constraints and duality
Bayesian modeling and estimation
Optimization for inverse problems
Optimization for control
Optimization for machine learning
Notes:
Includes bibliographical references and index
Online resource; title from PDF title page (Cambridge Core, viewed July 29, 2026)
Other Format:
Print version Brunton, Steven L. (Steven Lee), 1984- Optimization
ISBN:
9781009755856
1009755854
OCLC:
1573019666
Access Restriction:
Restricted for use by site license

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