Introduction to Optimization

Catalog description

Credit 1.5. 1.5 Lecture Hour. Basics of deterministic optimization with focus on modeling and computer solutions; practical examples to develop understanding of modeling and solution techniques that can be used to improve decision-making; linear, non-linear, mixed integer, combinatorial and network optimization problems. Prerequisite: Graduate classification; ENGY majors.