PREREQUISITE:
MATH 5660: Numerical Analysis I and MATH 5718: Applied Linear Algebra
HOURS: TR 5:30-6:45 pm, CN 223
INSTRUCTOR:
Prof. Andrew Knyazev
Office: CU (Dravo) 644. Phone: 556-8102.
Office hours: Wed 3pm - 6pm (or by appointment)
WWW:
http://math.ucdenver.edu/~aknyazev
Email:
aknyazev@math.ucdenver.edu
TEXTBOOK:
Iterative Solution Methods. Owe Axelsson. Cambridge University Press, 1994.
SUBJECT:
Solution of linear equations, eigenvector and eigenvalue calculations,
matrix error analysis, iterative methods.
The course will require knowledge in linear algebra, a basic knowledge of numerical methods, some programming experience, and familiarity with the complex plane. A brief review will be presented if necessary. The class will involve MATLAB workshops and some programming assingments in the MATLAB language.
CONTENTS:
The class will follow the outline below, touching on each major
topic in a depth that will be determined by the pace of the class.
GRADING:
Homeworks - 25%, Midterm Test - 25%, Final Project - 25%, Final Test - 25%.
SCALE: A=4 perfect, 3=B=OK, something little wrong, 2=C something
substantial missing or wrong, 1=D still some small progress, 0=F no credit.
Tests are take home. Extra credit will be given
for problems solved on board in the class.
Preliminary grades will be distributed during the semester.
HOMEWORKS:
Homework 1. Create a personal home page and report by email. Due Jan 28.
Homework 2.
Homework 3.
Homework 4.
Homework 5.
TESTS:
Trial Test.
Midterm.
Final Project.
Final Test.
Extra course materials:
1. Patriot Bug.
2. Pentium Bug.
3.
Numerical solution of huge eigenproblems.
4.
Students' pages
Students can communicate with each other and the teacher using the WWW page for comments.