Instructor: Allan Struthers Office: Fisher 212 Phone: 487-3541 e-mail: struther@mtu.edu Web Site: http://www.mathlab.mtu.edu/~struther/Courses/5627/ My schedule: https://huskymail.mtu.edu/home/struther@mtu.edu/Calendar.html Meeting 2-3pm M/W/F Fisher 327B

Text:Fundamentals of Matrix Computations (3rd Edition) by David Watkins

Objectives:This course is intended to introduce numerical linear algebra at the graduate level. The text is comprehensive and fairly readable. We will be working directly from it. I plan to work through most of chapters 1, 2, 3, 4, 5, 6, and 8.Substantial computer exercises will be required in this class. No particular computer language is required. Specifically, programs can be written in C, C++, Fortran, Fortran 90, Mathematica, Maple, or Matlab. The text is a matlab text with code-snippets, examples, and pseudocode motivated by that language. I am a Mathematica person and will be producing code-snippets, examples, and pseudocode motivated by that language.

Much of the motivation will be to understand what Mathematica and/or Matlab do when you ask them to solve linear equations, compute singular value decompositions, compute eigenvalues etc.

There may be some students in the class with little programming experience. I will run a Mathematica based "Programming Boot Camp" for these students in the first and second weeks of the course. If you do not have much programming experience I would encourage you to use Mathematica and attend the boot camp.

HW exams etc.:There will be frequent HW (all equally weighted and mostly computational) and a computational final project that will count as several (we will discuss this in class on the first day) HW assignments. The final projects will be presented during the scheduled final exam slot.Affirmative Action Notice:MTU complies with all federal and state laws and regulations regarding discrimination, including the ADA Act of 1990. If you have a disability and a need, a reasonable accommodation for equal access to education or services can be made through the Dean of Students office (Gloria Melton 487-2212). For concerns regarding discrimination of any kind, contact your advisor, department head, or affirmative action office.