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Uedu Open / Optimization Methods
15.093J

Optimization Methods

Prof. Dimitris Bertsimas | Fall 2009
Business & Management Systems Thinking Science & Math Mathematics Engineering Systems Engineering Applied Mathematics Systems Optimization
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CC BY-NC-SA 4.0
課程簡介
This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis is on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton’s method, heuristic methods, and dynamic programming and optimal control methods.
Course Information
SourceMIT 開放式課程
科系Electrical Engineering and Computer Science
LanguageEnglish
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