Introduction to linear optimization with an emphasis on theory. Topics include model formulation, solution methods, polyhedral and duality theory, sensitivity analysis, and software. Prereq: Math 2174, 2415, 2568, or 4568, and permission of instructor; or Grad standing. Not open to students with credit for 5200 (720).
Introduction to linear optimization with an emphasis on theory. Topics include model formulation, solution methods, polyhedral and duality theory, sensitivity analysis, and software. Prereq: Math 2174, 2415, 2568, or 4568, and permission of instructor; or Grad standing. Not open to students with credit for 5200 (720).
