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Optimization Methods in Management Science, Spring 2007

 
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Type: Course Related Materials
Grade Level: Post-secondary
Author: Orlin, James
Subject: Business
Institution Name: M.I.T.
Collection Name: MIT OpenCourseWare

Abstract: Introduces students to the theory, algorithms, and applications of optimization. The optimization methodologies include linear programming, network optimization, dynamic programming, integer programming, non-linear programming, and heuristics. Applications to logistics, manufacturing, transportation, E-commerce, project management, and finance.

Details

Course Type: Full Course
Material Types: Syllabi, Homework and Assignments, Lecture Notes
Media Formats: Text/HTML, Downloadable docs
Language: English

Additional Information

Geographic Regional Relevance: All

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