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BEE 6940

Course information provided by the Courses of Study 2014-2015.

Topic 1: Applied Optimization. Spring. This is an introductory course on linear programming with emphasis on modeling and analysis of linear optimization problems. This course includes an introduction to linear programming modeling, duality and post-optimization analysis including sensitivity analysis, worst-case and Monte Carlo approaches. Students will learn how to formulate and solve linear optimization problems using YALMIP toolbox for MATLABTM. Linear programming can be applied to various fields of study, in this course we will cover several examples of applications of linear programming in engineering.

When Offered Spring.

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Enrollment Information
Combined with: EAS 6920

  • Topic: Multicomponent Tracer Methods

  • 18188BEE 6940  LEC 001

  • 3 Credits Stdnt Opt