Rutgers University 3 credits Business Analytics and Information Technology
Introduces optimization modeling beyond the confines of a two-dimensional spreadsheet. Study of appropriate mathematical notation for formulating realistic, complex optimization models; how to translate this notation into a modern modeling language; and how to represent given problem data symbolically and separate it from the fundamental model structure. Use of set-theoretic and network ideas in formulating models and representing data; use of nonlinear models or integer variables. Examines how to formulate models in a linear or convex manner; introduction of Lagrange multipliers and their economic interpretation. Prerequisites: 33:136:386 or 29:623:311. Open to 136 majors and 136 CERT. Junior or senior status.
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