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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
Contributor(s): Boyd, Stephen (Author), Vandenberghe, Lieven (Author)
ISBN: 1316518965     ISBN-13: 9781316518960
Publisher: Cambridge University Press
OUR PRICE:   $49.39  
Product Type: Hardcover - Other Formats
Published: August 2018
Qty:
Additional Information
BISAC Categories:
- Technology & Engineering | Engineering (general)
- Mathematics | Algebra - Linear
Dewey: 512.5
LCCN: 2018017123
Physical Information: 0.97" H x 7.23" W x 9.45" (2.68 lbs) 474 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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(R), 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.

Contributor Bio(s): Vandenberghe, Lieven: - 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).Boyd, Stephen: - 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.