Introduction to Applied Linear Algebra
Vectors, Matrices, and Least Squares
By Stephen Boyd,Lieven Vandenberghe | Publisher: Cambridge University Press
About the book
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 realworld 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/. Suitable for both onesemester and onequarter courses, as well as selfstudy, this selfcontained text provides beginning students with the foundation they need to progress to more advanced study.
Editions of Introduction to Applied Linear Algebra
- Hardcover
- ISBN 9781316518960
Read an Excerpt
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 realworld 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/. Suitable for both onesemester and onequarter courses, as well as selfstudy, this selfcontained text provides beginning students with the foundation they need to progress to more advanced study.
Frequently Asked Questions
What is Introduction to Applied Linear Algebra about?
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 realworld 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/. Suitable for both onesemester and onequarter courses, as well as selfstudy, this selfcontained text provides beginning students with the foundation they need to progress to more advanced study.
What core themes, tropes, or subjects are explored in Introduction to Applied Linear Algebra?
Technology, Engineering, Agriculture, Industrial processes > Technology: general issues > Maths for engineers
Where can I read a sample of Introduction to Applied Linear Algebra?
You can read an official preview of the few pages here https://www.book2look.com/book/9781316518960
Who is/are the Author/s of the book Introduction to Applied Linear Algebra?
Stephen Boyd,Lieven Vandenberghe
What are the ISBN numbers for the physical and digital editions?
Introduction to Applied Linear Algebra is available as hardcover(ISBN 9781316518960)