ADVANCED LINEAR PROGRAMMING

Prerequisites & course information

Requisites: STAT/COMP SCI/I SY E/MATH 525 and ( COMP SCI 200 , 220 , 300 , 301, 310 , or placement into COMP SCI 300 ) or graduate/professional standing Course Designation: Level - Advanced L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Spring 2020 Learning Outcomes: 1. Use the theory of linear programming to prove general duality results Audience: Undergraduate 2. Apply the concept of complementarity Audience: Undergraduate 3. Analyze and develop algorithms for solving optimization and equilibrium problems Audience: Undergraduate 4. Apply decomposition methods and other advanced algorithms for the solution of optimization and equilibrium problems Audience: Undergraduate 5. Understand economic concepts and how they relate to optimization and equilibria Audience: Undergraduate 6. Extend theory of linear programming into the framework of conic programming Audience: Undergraduate Learning Outcomes: 1. Use the theory of linear programming to prove general duality results Audience: Undergraduate 2. Apply the concept of complementarity Audience: Undergraduate 3. Analyze and develop algorithms for solving optimization and equilibrium problems Audience: Undergraduate 4. Apply decomposition methods and other advanced algorithms for the solution of optimization and equilibrium problems Audience: Undergraduate 5. Understand economic concepts and how they relate to optimization and equilibria Audience: Undergraduate 6. Extend theory of linear programming into the framework of conic programming Audience: Undergraduate