Introduction to Applied Linear Algebra

Stephen Boyd, Lieven Vandenberghe

ISBN 10: 1316518965 / ISBN 13: 9781316518960

Editore: Cambridge University Press, GB, 2018

Riguardo questo articolo

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB®, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.

Codice articolo LU-9781316518960

Dati bibliografici

• Titolo: Introduction to Applied Linear Algebra
• Editore: Cambridge University Press, GB
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1316518965
• ISBN 13: 9781316518960
• Rilegatura: Hardback
• Condizione: New

Descrizione articolo

Riassunto

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Informazioni sugli autori

Stephen Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering at Stanford University,California, with courtesy appointments in the Department of Computer Science, and the Department of Management Science and Engineering. He is the co-author of Convex Optimization (Cambridge, 2004), written with Lieven Vandenberghe.

Lieven Vandenberghe is a Professor in the Electrical and Computer Engineering Department at the University of California, Los Angeles, with a joint appointment in the Department of Mathematics. He is the co-author, with Stephen Boyd, of Convex Optimization (Cambridge, 2004).