5630 Numerical Optimization:
Spring 2011 

Instructor: Allan Struthers
Office: Fisher 212
Phone: 487-3541
e-mail: struther@mtu.edu
Web Site: http://www.mathlab.mtu.edu/~struther/Courses/5630_11/
My schedule: https://huskymail.mtu.edu/home/struther@mtu.edu/Calendar.html
Topics:
Numerical solution of unconstrained and constrained optimization problems and nonlinear equations. Topics include optimality conditions, local convergence of Newton and Quasi-Newton methods, line search and trust region globalization techniques, quadratic penalty and augmented Lagrangian methods for equality-constrained problems, logarithmic barrier method for inequality-constrained problems, and Sequential Quadratic Programming.
Text:
Numerical Optimization 2nd edition by Jorge Nocedal and Stephen Wright. 
ISBN: 0387303030
Note: Chapter pdfs are free through the mtu library.
Coding:
You will be expected to implement many of the algorithims discused in the class.  You can use MathLab, Mathematica, C, C++, Java, or Fortran. I will be able to provide the most help with Mathematica and C.  There may be some students in the class with little programming experience.  I will run a "Programming Boot Camp"  for these students in the second week of the course.

Meeting Times:
The course meets M/W/F 3-4pm. in F327B

Prerequisites:
MA4330 or MA4610 or MA5627 or MA4630 or consent of instructor.
I am participating in a workshop ot the IMA in Minneapolis first the first week of class. Dr Gockenbach will be covering those classes for me. I look forward to meeting you all in the second week.