This course is an introduction to linear optimization and its extensions emphasizing the underlying mathematical structures, geometrical ideas, algorithms and solutions of practical problems. The topics covered include formulations, the geometry of linear optimization, duality theory, the simplex method, sensitivity analysis, and robust optimization, large scale optimization network flows, solving problems with an exponential number of constraints and the ellipsoid method and interior point methods. 
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Basic Concepts Of Mathematical Programming

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