From this site, you will find the course information, class announcements, homework assignments
and some other related resources. Please visit here regularly for updated information.
Announcements:
Hw6 and Answers of Hw5 are here!
Course Information:
- Instructor: Prof. Fengyan Li (office: AE332; phone: *3201; email: lif at rpi dot edu)
- Office Hours: 1pm-2pm on Tuesdays and 11am-12pm on Thursdays, or by
appointment
- Textbook: Numerical Linear Algebra, by L.N. Trefethen and D. Bau, III. (SIAM)
- Reference text: Applied Numerical Linear Algebra, by J.W. Demmel (SIAM)
- Prerequisite: Familiar with the main concepts in Linear Algebra, able to carry out basic mathematical analysis and derivation
Grading:
40%: Homework assignments
30%: Midterm exam (on October 15, 2009)
30%: Take-home final
Objectives and Various Policies:
course syllabus
Homework Assignments:
- Homework 1: 1.3 (graded); 1.1, 1.4, due by 2pm Sept 10.
- Homework 2: 2.3, [extra] (graded); 2.1, 2.2, 3.1, 3.3, due by 2pm Sept 17.
[extra] Show (3.10) of the textbook on page 21.
- [Homework 3]: due 2pm Oct 1, 2009.
- [Homework 4]: Question 1 is due 2pm Oct 13,
Question 2 (if you want to turn in for grade, 20 points are assigned to this question) is due any time before 2pm Oct 19, Question 3&4 are not required to be handed in.
- [Homework 5]:
due by 2pm Nov 5.
- [Homework 6]:
due by 2pm Nov 19.
Everyone is welcome to contribute to the following:
You can email me either an online link, an electronic (scanned) copy of pages from some research papers,
a typed-up or a scanned hand-written file
- References for MATLAB
- Applications of what we have learned/will learn in this course
- "Low-rank approximation" in image compression [pdf] (from the reference
text by Demmel)
-
The matlab codes for in-class demo [eigenvalue solvers]
- Solutions to interesting questions
- Suggestions/solutions needed to interesting topics
- Parallel implementation for matrix-vector product, matrix-matrix product, inverse of a matrix, by F. Li
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