PRINCIPLES OF OPTIMIZATON

Catalog description

In this course, students will learn the optimization techniques used to model and solve problems from various disciplines such as business, engineering, sciences, sports, etc. This course introduces students to optimization methods for linear, nonlinear, and integer programming. Emphasis will be on techniques that expand student understanding of Calculus and Linear Algebra concepts as well as how to formulate a model; interpret problems mathematically and geometrically; solution techniques in cases where Calculus cannot be used. Additional emphasis will include the theory behind solution techniques; sensitivity analysis; and how to use Octave/Matlab to solve problems. Pre-requisite: MATH-275 with a grade of C or better, or permission of the instructor.