Higher Education | Physics & Astronomy
A First Course in Laboratory Optics
Principles of Photonics
Andri M. Gretarsson
Jia-Ming Liu
Learn the essential skills of laboratory optics and its underlying theoretical framework with seven key experiments.
A comprehensive and selfcontained introductory text covering all the fundamental concepts and major principles of photonics.
June 2021 253 x 177 mm c.300pp HB, EB, CO 978-1-108-48885-3 Hardback £39.99 / US$49.99 P
November 2016 246 x 189 mm 444pp 117 b/w illus. HB, EB, CO 978-1-107-16428-4 Hardback £73.99 / US$96.99 P
Imaging Optics Joseph Braat Peter Török
This comprehensive and selfcontained text for researchers and professionals presents a detailed account of optical imaging from the viewpoint of both ray and wave optics. May 2019 246 x 189 mm 984pp 557 b/w illus. 59 tables HB, EB, CO 978-1-108-42808-8 Hardback £79.99 / US$99.99 P
NETWORK SCIENCE, DATA SCIENCE AND SCIENTIFIC COMPUTING
A First Course in Network Science Filippo Menczer Santo Fortunato Clayton A. Davis
A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines. February 2020 246 x 189 mm c.300pp 131 b/w illus. 131 colour illus. HB, EB, HE, CO 978-1-108-47113-8 Hardback £34.99 / US$44.99 X
Network Science Albert-László Barabási Márton Pósfai
Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science. July 2016 246 x 189 mm 475pp 371 colour illus. 12 tables 30 exercises HB 978-1-107-07626-6 Hardback £41.99 / US$55.99 P
Data-Driven Science and Engineering
Machine Learning
Machine Learning, Dynamical Systems, and Control Second edition Steven L. Brunton J. Nathan Kutz
A First Course for Engineers and Scientists Andreas Lindholm Niklas Wahlström Fredrik Lindsten Thomas B. Schön
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Presents carefully selected supervised and unsupervised learning methods from basic to state-of-the-art,in a coherent statistical framework.
April 2022 253 x 177 mm c.550pp HB, HE, CO 978-1-00-909848-9 Hardback £49.99 / US$64.99 P
March 2022 253 x 177 mm 350pp HB, HE, CO 978-1-108-84360-7 Hardback £54.99 / US$69.99 P
www.cambridge.org/physicsastrotextbooks
Machine Learning with Neural Networks An Introduction for Scientists and Engineers Bernhard Mehlig
Modern introduction to machine learning with neural networks. Key principles of the topic are described alongside cutting-edge applications. October 2021 244 x 170 mm 260pp HB, EB, CO 978-1-108-49493-9 Hardback £39.99 / US$49.99 P
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