Introduction to Applied Linear Algebra: Vectors, Matrices and Least Squares by Stephen Boyd, Lieven Vandenberghe
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About this book :-
This groundbreaking textbook provides beginning students with the foundation they need to progress to more advanced study. The 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 i.e. 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.
Book Detail :-
This book has following details information.
Title:
Introduction to Applied Linear Algebra: Vectors, Matrices and Least Squares by Stephen Boyd, Lieven Vandenberghe by NA
Publisher:
Cambridge University Press
Series:
freeCompBooks
Year:
2018
Pages:
473
Type:
PDF
Language:
English
ISBN-10 #:
1316518965
ISBN-13 #:
978-1316518960
Country:
Pakistan
License:
N\A
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About Author :-
The author NA
NA
Book Contents :-
conver the following topics.
1. Vectors
2. Linear functions
3. Norm and distance
4. Clustering
5. Linear independence
6. Matrices
7. Matrix examples
8. Linear equations
9. Linear dynamical systems
10. Matrix multiplication
11. Matrix inverses
12. Least squares
13. Least squares data fitting
14. Least squares classification
15. Multi-objective least squares
16. Constrained least squares
17. Constrained least squares applications
18. Nonlinear least squares
19. Constrained nonlinear least squares
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