• This web page describes an activity within the Department of Mathematics at Ohio University, but is not an official university web page.
• If you have difficulty accessing these materials due to visual impairment, please email me at mohlenka@ohio.edu; an alternative format may be available.

MATH 446 (04531) and 546 (04543), Spring 2005

Numerical Linear Algebra

Catalog Description:

Floating point arithmetic, numerical solution of systems of linear equations using Gaussian elimination and its variants, numerical techniques for eigenvalues, error analysis, and implementation of algorithms on computer.

Prerequisites:

MATH 410/510 and programming experience.

Instructor:

Martin J. Mohlenkamp, mohlenka@ohio.edu, (740)593-1283, 554 Morton Hall.
Office hours: Monday 10-11am, Tuesday 10-11am, Thursday 10-11am and 5-6pm, and Friday 10-11am.

Web page:

http://www.ohiouniversityfaculty.com/mohlenka/20053/446.

Class hours/ location:

MTuThF 9:10-11am in 318 Morton Hall.

Text:

Numerical Analysis, seventh edition, by Richard L. Burden and J. Douglas Faires; Brooks/Cole, 2001.

Homework:

There will be weekly homework assignments, consisting of:

• Traditional paper-and-pencil problems;
• Programming problems (I support Matlab, C, and Python, but other languages are acceptable); and
• Good Problems, which are graded half on content and half on presentation.

Tests:

There will be two mid-term tests, in class.

Project:

Students enrolled in 546 will also do a project, and submit a written report and give a presentation.

Final Exam:

The final exam is on Tuesday 7 June at 12:20pm in our regular classroom.

Grade:

For students in 446, your grade is based on homework 50%, tests 25%, and final exam 25%. For students in 546, the proportions are homework 25%, tests 25%, final exam 25%, and project 25%. An average of 90% guarantees you at least an A-, 80% a B-, 70% a C-, and 60% a D-.

Missed or Late work:

Late homeworks are penalized 5% for each 24 hour period or part thereof, excluding weekends and holidays. You can resubmit a homework to improve your score, but the late penalty will apply.

Attendance:

Attendance is assumed but is not counted in your grade. It is your responsibility to find out any announcements made in class.

Academic Dishonesty:

You are strongly encouraged to work together on the homework, but you must acknowledge in writing what help you received and from whom. The tests and final exam must be your own work, and without the aid of notes, etc. Dishonesty will result in a zero on that work, and possible failure in the class and a report to the university judiciaries.

Special Needs:

If you have specific physical, psychiatric, or learning disabilities and require accommodations, please let me know as soon as possible so that your learning needs may be appropriately met.

Resources:

Your classmates are your best resource. Use them!

LaTeX: LaTeX help 1.1; A sample LaTeX file, samplelatex (.tex, .dvi, .ps, .pdf); A sample of latex with figures incorporated: latexfig.tex and the sample figure lfig.eps.

MATLAB: Ohio University Matlab Central; Local Matlab Quick Reference (.pdf) and Survival Guide (.pdf); Official MATLAB Documentation; Random web Introduction to MATLAB, MATLAB Summary and Tutorial, and A Practical Introduction to MATLAB.

Schedule