MATH 5640 - Applied Linear Algebra

Last Update: April 9, 2022

Prerequisite

• Linear Algebra I.
• Although not requried, students are strongly encouraged to take Linear Algebra II.
• Although not required, previous encounter with Matlab/Octave/Julia or other programming languages will be beneficial.

Topics

• Vector Spaces
• Discrete Fourier Transform
• Matrix Norms
• Matrix Decompositions
• Matrix Diagonalization
• Singular Value Decomposition
• Principal Component Analysis
• Functions of Diagonalizable Matrices
• Jordan Form

Textbook

Carl Meyer, Matrix Analysis and Applied Linear Algebra ISBN-13: 978-0898714548 ISBN-10: 0898714540

UML Graduate Catalog
Back to Teaching Page