AMSC/CMSC 460 Computational Methods

Summer, 2002

Section 0101 MTH B0421 MTThF 8:00-9:20 a. m.

Instructor: Dr. Peter Wolfe

Office MTH 3314, Phone 405-5149, e-mail pnw@math
Office Hours: M-F 10-10:45 a.m. (or by appointment).       

Text:  Fundamentals of Numerical Computing by Shampine, Allen and Pruess. Click here for more information.

Additional reference:   Introduction to Scientific Computing, 2nd Ed. by Van Loan. This book has a lot of good stuff about MATLAB, e.g. how to format your output neatly. A copy is on reserve at the ESPL .

Syllabus:   We will cover all or parts of chapters 1 through 6 as well as some additional material on Least Squares Approximations.

Course Objectives:   The goals of the course are to introduce the student to some fundamental concepts of numerical analysis and the intellegent use of software to solve problems which may arise in mathematics, science and engineering. The course will be about 50% theory and 50% programming.

Exams and Assignments:   There will a midterm exam on or about July 2, six assignments to be handed in and a final exam on July 26.

Midterm Exam: Tuesday July 2. Covers Chapters 1, 2, 3 & 5 in text, as well as material on Least Squares presented in class

Programming:   Programming will be done in MATLAB. Students should also have a good scientific calculator for use on homework and exams.

MATLAB help: For help with MATLAB this link will take you to the software info page of the Mathematics Department. SOFTWARE

Introduction to MATLAB: Here is a short introduction to MATLAB that can be downloaded in either pdf or postscript format
Click here for postscript . Click here for pdf .

Grading:   20% midterm, 50% assignments, 30% final exam.

Assignments

Assignment #1   Due June 14, 2002.
Assignment #2   Due June 21, 2002.
Assignment #3   Due June 28, 2002.
Assignment #4   Due July 9, 2002.
Assignment #5   Due July 19, 2002.
Assignment #6   Due July 26, 2002.

Important Announcement:   The deadline for submitting Assigment #6 is 4:30 p.m. Friday July 26.   Absolutely no Homework will be accepted after the above deadline.

Homework solutions will be on reserve at the ESPL .

Sample Midterm Exam
Sample Final Exam

Weights and nodes for Gauss-Legendre integration
Weights and nodes for Gauss-Laguerre integration

Integration codes and samples from Shampine, Allen & Preuss.

Rke.m
X1rke.m
X1rkef.m
X2rke.m
X2rkef.m
Xmrke.m
Yvalue.m

Interpolation with Polynomials and splines