Course Description
Introduction to methods for obtaining approximate solutions to unconstrained and constrained minimization problems of moderate size. Emphasis on geometrical interpretation and actual coordinate descent, steepest descent, Newton and quasi-Newton methods, conjugate gradient search, gradient projection and penalty function methods for constrained problems. Specialized problems and algorithms treated as time permits.
DE Fee
Engineering Online GRAD
DE Program
MS E
Fall 2025
Instructors
Meeting Patterns
Classes Start:
August 18, 2025
Classes End:
December 2, 2025
Distance Education:
Yes
Class Days:
[TBA]
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: Linear algebra or similar coursework (similar to MA 303, MA 405), and knowledge of a computer language, such as Python, MATLAB, Julia, for example. Enrollment for this course is through the Engineering Online Registration System. Go to http://go.ncsu.edu/eol_registration
