Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares by Stephen BoydEnglish | True PDF | 208 | 473 Pages | ISBN : 1316518965 | 7.47 MB
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.