Johns Hopkins University 4 credits Applied Mathematics & Statistics
An introductory survey of optimization methods, supporting mathematical theory and concepts, and application to problems of planning, design, prediction, estimation, and control in engineering, management, and science. Study of varied optimization techniques including linear programming, network-problem methods, dynamic programming, integer programming, and nonlinear programming. Prerequisite(s): EN.553.361 AND ( AS.110.202 OR AS.110.211 )
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