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, and data sets accompanying the book online. It is 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.
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EAN: 9781316518960
UPC: 9781316518960
ISBN: 9781316518960
MPN: N/A
Item Length: 24 cm
Number of Pages: 474 Pages
Publication Name: Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
Language: English
Publisher: Cambridge University Press
Item Height: 253 mm
Subject: Engineering & Technology
Publication Year: 2018
Type: Textbook
Item Weight: 1180 g
Author: Stephen Boyd, Lieven Vandenberghe
Item Width: 195 mm
Format: Hardcover
