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Back to topOptimization for Decision Making: Linear and Quadratic Models (Paperback)
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Description
Linear Equations, Inequalities, Linear Programming: A Brief Historical Overview.- Formulation Techniques Involving Transformations of Variables.- Intelligent Modeling Essential to Get Good Results.- Polyhedral Geometry.- Duality Theory and Optimality Conditions for LPs.- Revised Simplex Variants of the Primal and Dual Simplex Methods and Sensitivity Analysis.- Interior Point Methods for LP.- Sphere Methods for LP.- Quadratic Programming Models.