University of Kentucky

MA/CS 622 - Matrix Theory and Numerical Linear Algebra II

Spring 2020

MWF 1:00 - 1:50pm, CB

Instructor

     Dr. Qiang Ye
     Office: 735 Patterson Office Tower
     Phone:257-4653
     Email: qye3 "at" uky . edu
     Office Hours: MWF 2:00-3:00

Course Information

Textbook

There is no required text. The following books will be good sources of reference.

Applied Numerical Linear Algebra by J.W. Demmel, published by SIAM.
Numerical Methods for Large Eigenvalue Problems, and Iterative Methods for Solving Linear Systems by Youcef Saad; freely available online.

Computing

Access to a computer on which a recent version of MATLAB runs is required for this course. MATLAB documentation is available from at least two sources. First, MATLAB has an extensive on-line help facility (just type "help" or "help commandname" in MATLAB). Second, Matlab Primer 3.5 is a free brief manual only slightly out of date. Moler’s book (Charpter 1 – Iteration) also provides a good introduction to MATLAB and can be downloaded here.

The Free Software Foundation's Matlab clone called Octave may also be used by those who do not have access to MATLAB.

Grading

The course grade will be based on homeworks and a take-home final exam with the weights given as follows:

Homework	80%
Final Exam	20%

The following is a tentative scale for grading:

90% A

75% B

60% C