Using a style of presentation that makes even the more difficult topics easy to understand, this text covers all the important quantitative models of operations research. The formulation of problems in mathematical terms is explained, together with the solution of the resulting models, and the interpretation of results. Coverage is given of linear programming, network flows, integer programming, nonlinear programming, dynamic programming, queueing models, inventory models and discrete-event simulation. The manner in which ...
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Using a style of presentation that makes even the more difficult topics easy to understand, this text covers all the important quantitative models of operations research. The formulation of problems in mathematical terms is explained, together with the solution of the resulting models, and the interpretation of results. Coverage is given of linear programming, network flows, integer programming, nonlinear programming, dynamic programming, queueing models, inventory models and discrete-event simulation. The manner in which the topics are developed leads students to discover the underlying concepts for themselves, with a minimum of both notation and unnecessary jargon. An appendix provides notational conventions for matrix algebra.
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