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6.7210[J] Introduction to Mathematical Programming
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Graduate (Fall)
(Same subject as 15.081[J])
Prereq: 18.06
Units: 4-0-8
Add to schedule Lecture: TR1-2.30 (E25-111) Recitation: F12 (2-105) +final
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Introduction to linear optimization and its extensions emphasizing both methodology and the underlying mathematical structures and geometrical ideas. Covers classical theory of linear programming as well as some recent advances in the field. Topics: simplex method; duality theory; sensitivity analysis; network flow problems; decomposition; robust optimization; integer programming; interior point algorithms for linear programming; and introduction to combinatorial optimization and NP-completeness.
P. Jaillet
No textbook information available