Introduction to Applied Linear Algebra - Vectors, Matrices, and Least Squares Boyd Stephen Stanford University CaliforniaPevná vazba
Introduction to Applied Linear Algebra - Vectors, Matrices, and Least Squares Boyd Stephen Stanford University CaliforniaPevná vazba This groundbreaking textbook combines straightforward explanations…
Specifikacia Introduction to Applied Linear Algebra - Vectors, Matrices, and Least Squares Boyd Stephen Stanford University CaliforniaPevná vazba
Introduction to Applied Linear Algebra - Vectors, Matrices, and Least Squares Boyd Stephen Stanford University CaliforniaPevná vazba
This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. 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 at https: //web.stanford.edu/ boyd/vmls/. 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.
Suitable for both one-semester and one-quarter courses, as well as self-study, this
Introduction to Linear Algebra
Introduction to Linear Algebra
Introduction to Linear Algebra