AMSC/CMSC 460 Computational Methods

Summer, 2009

Section 0101 MTH 1308 MTThF 8:00-9:20 a. m. June 1-July 24.

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:   Numerical Computing with MATLAB by Cleve Moler, SIAM 2004, ISBN 978-0-898716-60-3
Individual chapters can be downloaded from the web here . The chapters you will need to download are: Preface, Introduction to MATLAB, Linear equations, Interpolation, Zeros and roots, Least squares, Quadrature and Ordinary differential equations. In addition you will want to download the NCM files from the website.

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 the chapters listed above.

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 June 30, 6 assignments to be handed in and a final exam on July 24.

The midterm exam will be on Tuesday, June 30. On Monday June 29 we will go over the sample exam.

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

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 12, 2009.
Assignment #2   Due June 19, 2009.
Assignment #3   Due June 26, 2009.
Assignment #4   Due July 10, 2009.
Assignment #5   Due July 17, 2009.
Assignment #6   Due July 24, 2009.

Sample Midterm Exam
Sample Final Exam

Homework solutions will be on reserve at the ESPL .

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

Function m-file myeuler.m

Interpolation with Polynomials and splines