MAT 476 - Optimization

Examination of the mathematics underlying optimization problems, emphasizing the
underlying geometric, algebraic and analytical ideas. Topics covered may include: convex analysis, least-squares, linear programming, semidefinite programming, optimality conditions, duality theory, numerical methods including gradient descent and Lagrange multipliers.

Credit Hours: 3

Prerequisite Courses: MAT 261 and MAT 335
Course Repeatability: Course may not be repeated.