MIT Subject Listing & Schedule
Fall 2018 Search Results

Searched for: "6.215"    Subjects offered any term

1 subject found.

6.215 Optimization Methods

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(Subject meets with 6.255[J], 15.093[J], IDS.200[J])
Prereq: 18.06
Units: 4-0-8
Lecture: TR2.30-4 (2-190) Recitation: W3 (32-141) or F1 (56-114) +final

Introduces the principal algorithms for linear, network, discrete, robust, nonlinear, and dynamic optimization. Emphasizes 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. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
S. Shtern
Textbooks (Fall 2018)