Institutional Learning Outcomes: Knowledge, Critical Thinking and Investigation Real-world optimization problems are formulated in order to be resolved by standard techniques involving linear programming, integer programming, network flows, dynamic programming and goal programming. Additional techniques may include post-optimality analysis, game theory, nonlinear programming, and heuristic techniques. Prerequisites: MATH 3400-Intro to Linear Programming with a minimum grade of C
Institutional Learning Outcomes: Knowledge, Critical Thinking and Investigation Real-world optimization problems are formulated in order to be resolved by standard techniques involving linear programming, integer programming, network flows, dynamic programming and goal programming. Additional techniques may include post-optimality analysis, game theory, nonlinear programming, and heuristic techniques. Prerequisites: MATH 3400-Intro to Linear Programming with a minimum grade of C
