EE 448/528 Analytical and Computational Methods

INSTRUCTOR INFORMATION:

Name:

Dr. John L. Stensby

E-mail:

stensby@ece.uah.edu

Telephone:

(256)-824-6258

Office Hours:

TBD

COURSE INFORMATION:

Credit Hours:

3

Prerequisites:

EE382, MA244

Description:

The course will provide extensive coverage of numerical linear algebra, focusing on algorithms and capabilities that are incorporated into MatLab. Applications of the material will be given in the areas of image compression, the least squares fit of a line to a data set, and n-port electrical networks. While not a course on the program, MatLab will be used extensively.

COURSE NOTES:

README FIRST
Class Handout
Chapter One-Floating Point Numbers
Chapter Two-Vector Spaces: An Introduction
Chapter Three-Matrices:Elementary Theory
Chapter Four-Matrix Norms
Appendix 4.1-The Schur Form
Appendix 4.2-Hermitian Matrice
Chapter Five - Linear Equations: Basic Theory and Practice
Chapter Six - Minimum Norm Solution and the Least-Square-Error Problem
Chapter Seven - Singular Value Decomposition
Chapter Eight - Sensitivity and Condition of the AX = b Problem
Chapter Nine - Eigenvalues, Eigenvectors and Canonical Forms Under Similarity
Chapter Ten - Functions of a Matrix

Please view my other pages

Thanks!

John