A broad introduction to the field of optimization, discussing applications and solution techniques. Mathematical models for real life applications; algorithms; aspects of computational complexity; geometry; linear programming duality, focusing on the development of algorithms. [Offered: F,W,S] Prereq: One of MATH 106 with a grade of at least 70%, MATH 115, 136, 146; Not open to General Mathematics students. Antireq: CO 227,352, 255/355Also offered at St. Jerome’s University
