APPM 3310: Matrix Methods

Breaking News...

• Final grades as of 5/4/11 are posted on CULearn. Let me know if there are any recording discrepancies.

Section	Time/Place	Instructor	Email	Phone	Office	Office Hours
001	10AM MWF Duane G125	Dr. James Meiss	James.Meiss@Colorado.edu	492-3731	ECOT 236	M and T 1-2, F 11-12 (or by appointment)

• Course Information (PDF file)
• Readings, problems and solutions
• Projects Your proposal is Due March 18!
• All homework and lectures will be from Applied Linear Algebra by P. Olver and C. Shakiban
• Corrections to the first printing and second printing of Olver and Shakiban
• Homework Help sessions:

  Time	Place	LAs
  Mondays 5-6:30PM	ECCR 118	Bryan and Frank
  Tuesdays 5-6:30PM	MUEN D144	Evan and Stetson

  The Help sessions will be run by our Learning Assistants.
  • Frank Giuffre: email
  • Evan Harris: email
  • Bryan O'Malley: email
  • Stetson Zirkelbach: email
• Exams
  The exams will be in class, closed book, and no calculators or other electronic devices are permitted. One pages of notes is allowed.
  1. Exam 1, Answers
  2. Exam 2, Answers
  3. Final Exam
  4. Here are some exams from previous semesters. Please note that not all of the older exams correspond to exam material for our class. In other semesters, different texts may have been used and the material may have been covered at a different pace.

• Mathematical Writing.
  A few years ago, some people (D. Bundy, E. Gibney, J. McColl, M. Mohlenkamp, K. Sandberg, B. Silverstein, P. Staab, and M. Tearle) in Applied Math developed a method to gently teach mathematical writing. Martin Mohlenkamp maintains the Good Problems site that this effort produced. This is an excellent site for guidelines on how to write mathematics well.
• Mathematical Software.
  We will use Maple, Mathematica and/or Matlab to give demonstrations in class. You are strongly encouraged to become familiar with matrix operations in at least one of these software packages, as it will prove useful for your projects. (Students in this class can purchase Maple at a discount with the code AP68569. Mathematica is available from CU Mathematica license, and Matlab can be purchased at a discount at the bookstore.).
  1. Maple Tutorial, Linear Algebra Basics, and Video Tutorials
  2. Mathematica Basics and Linear Algebra Tutorial
  3. Matlab Basics
• Some Applets
  1. Matrix Arithmetic, Inverse and Determinant
  2. Peter Staab's Web-based Matrix algebra program can be used for many matrix manipulations.
• Matlab Examples
  1. GaussElim.m, a simple program to do Gaussian Elimination on a regular matrix
  2. PGaussElim.m, Gaussian Elimination with permutation for a nonsingular matrix.
  3. Face Data is data you can use to try out the software below.
  4. Principal Components is code you can use to calculate the principal components of 2D data. Try it on the data given above.
  5. Gaussian and Confidence are routines that calculate the confidence in a measurement, relative to given data.
  6. Eigshow is a Matlab demo of the key idea behind the SVD.
  7. This gives more information about the SVD, including applications.
• Matrices in the News
  1. Contra Dancing and Matrices
  2. Bus Schedules and Random Matrices
  3. Magic Squares
  4. Google's Page Rank Algorithm