Introduction to Numerical Analysis
MTH 351 - Sec 020

Contents

• Calendar
• Grades
• Matlab
• Homework
• Computer Assignments (Labs)
• Links
• Exams

Grades

Grade Distribution

Grade Scale

Matlab

The following are options for accessing Matlab at OSU:

1. The Mathematics Department computer lab is located in the Math Learning Center, Kidder 108. In order to use the computers there, you will need an ONID account. If you have none please visit http://onid.orst.edu and sign up as soon as possible.
2. The computer lab in the Milne basement. Again, you will need an ONID account. Both labs may be scheduled for classes at certain times, so it is a good idea to find out in advance when they are open.
3. You may have access to Matlab through a computer lab or network of your department. In particular, students can download from here.
4. If you would like to have Matlab at home, consider purchasing the Matlab Student Edition.

The following are online resources for learning Matlab:

• Notes on Computational Mathematics: Matlab
• Matlab Reference Card
• Matlab Tutorial
  • Modified leslie matrix
• Sample Matlab diary

*NEW* MATLAB Tutor in the MLC Computer lab. Click here for more information.

Homework

• Sec 6.3: 4*, 7
• Sec 6.4: 1*, 4, 6a, 11*, 12, hw6lu*
  
• Sec 6.5: 3, 4, 5 (assume 0< c < 1), 6
  
• Sec 6.6: 5b for Jacobi, 11, NOT 12
  

Only problems marked with * need to be turned in for a grade.

Computer Assignments (Labs)

Students should complete assignments individually. Any questions should be directed to the professor. A printout of all output must be turned in along with detailed explanations of solutions, answers to all questions asked, and supporting plots. Please upload all scripts (.m files) to the Digital Dropbox on the Blackboard Site in a single zip/tar/etc file. Your code should be written in such a way that your results should be reproducable simply by executing a script file, such as lab1prob1.m.

• Lab1 -- Due Oct 12
  See sample script to help with Problem 1. Try to understand what this is doing.
  See sample script to help with Problem 2. Try to understand what this is doing.

• Lab2 -- Due Oct 30
  See sample codes. Try to understand what these are doing. (Tab alignment may be off in Windows.)
  See interesting paper on fixing Secant method.
  See also FAQ (from previous terms).

• Lab3 -- Due Nov 9

• Lab4 -- Due Nov 25 Nov 30
  Use the codes from the publisher's website. Include these in the files you upload, as you will have to make minor modifications (case 4 in f_value). You may also need the following file: gausstable.m which uses the authors' gaussint.m to create a table similar to what the other codes produce.
  

• Lab5 -- Due Dec 4
  Use the codes from here. You do not have to include these in the files you upload unless you make major changes.
  
  • If lsq.m gives you an error such as maple command not found, please use lsqv2.m instead.

Links

Matlab demonstrations

testloop.m -- Section 2.1.3

compare.m -- Compares Bisection, Secant, and Newton methods (requires sample codes).

cobweb.m -- Graphical display of fixed point iterations

Integrate_GUI.m -- Publisher's GUI for numerical integration (requires Integrate_GUI.fig)

Maple demonstrations

trapsimp.mw -- Compares Mid-point, Trapezoid and Simpson's rules (requires Maple 10)

Introductory Materials from Chapter 1:

Sec 1.1

Sec 1.2

Sec 1.3

Matlab Introduction

Binary Numbers

Math Modeling

Blackboard Site

Exams