CSC/MTH 753 NONLINEAR OPTIMIZATION - Spring 2007


Class Information

Staff

Lectures

The class meets Tuesdays and Thursdays from 9:30 to 10:45 in Manchester, Room 124.

Prerequisites

Math 113 Calculus of Several Variables, and Math/CSC 355/655 Numerical Methods (or you should review this background material).

Text

"Numerical Optimization", J. Nocedal and S. Wright, Springer, 2nd Edition, 2006.

Course Themes

We will concentrate on (1) mathematical principles useful in optimization, (2) techniques for solvling modest size optimization problems using the Matlab Optimization Toolbox, (3) iterative methods for solving large scale optimization problems, and their computer implementations. A "user's guide" for the Matlab Optimization Toolbox is available on-line.

Problem Sets, Exams & Grading

There will be 3 problem sets (1 individual/2 group), a midterm (take-home), and a final exam (take-home). Course grades will be determined using the following weighting: individual problem set - 10%, group problem sets with class presentations - 20% each, mid-term and final exams - 25% each.