Models and methods in discrete optimization; emphasis on useful modelling methodologies and their applications. Students will learn to formulate an optimization model, solve it, interpret results, and derive insight relevant to intended application. This course is not eligible for Credit/D/Fail grading.
Models and methods in discrete optimization; emphasis on useful modelling methodologies and their applications. Students will learn to formulate an optimization model, solve it, interpret results, and derive insight relevant to intended application. This course is not eligible for Credit/D/Fail grading.
