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University of Waterloo Math Online - Applied Linear Algebra 1

Matrices, Gaussian elimination, vector spaces, LU-decomposition, orthogonality, Gram-Schmidt process, determinants, inner products, eigenvalue problems, diagonalization of symmetric matrices, applications to differential equations and Markov processes. Lay, Steven R. Lay, Judy J. Students may choose to use either a print copy or an ebook on Vital Source.

MATH 247 Honours Applied Linear Algebra (3 credits)

Return to Book Page. Lieven Vandenberghe.


  • Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series).
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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, 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 real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB R , 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. Get A Copy.

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Hardcover , pages. Published August 23rd by Cambridge University Press. More Details Other Editions 2. Friend Reviews. To see what your friends thought of this book, please sign up.

Linear Algebra and its Applications

To ask other readers questions about Introduction to Applied Linear Algebra , please sign up. Carl Dean Meyer.


  1. One Day in History: December 7, 1941.
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  5. Matrix Analysis and Applied Linear Algebra is an honest maths text that circumvents the traditional definition-theorem-proof format that has bored students in the past. Meyer uses a fresh approach to introduce a variety of problems and examples ranging from the elementary to the challenging and from simple applications to discovery problems.

    Why Linear Algebra?

    The focus on applications is a big difference between this book and others. Meyer's book is more rigorous and goes into more depth than some. He includes some of the more contemporary topics of applied linear algebra which are not normally found in undergraduate textbooks.