000			01574nam a22002057a 4500
008			220727b2018 |||||||| |||| 00| 0 eng d
020			_a9781316518960
082			_a512.5 BOY-S
100			_aBoyd, Stephen
245			_aIntroduction to applied linear algebra : _bvectors, matrices, and least squares / _cStephen Boyd and Lieven Vandenberghe
260			_aCambridge _bCambridge University Press _c2018
300			_a463p.
365			_aGBP _b35.99
500			_aThis 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 allow students to test their understanding and translate their knowledge into solving real-world problems with lecture slides, additional computational activities 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.
650			_aMatrices
650			_aVector algebra
650			_aAlgebras, Linear
650			_aLeast squares
700			_aVandenberghe, Leiven
999			_c79767 _d79767