STOCHASTIC PROCESSES, FINANCE & CONTROL

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  The book presents a graduate level, rigorous, and self-contained introduction to linear optimization (LO), the presented topics beingexpressive abilities of LO;geometry of LO - structure of polyhedral sets, LO duality and its applications;traditional LO algorithms - primal and dual simplex methods, and network simplex method;polynomial time solvability of LO via ellipsoid algor...

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