Operations Research: Applications and AlgorithmsThe marketleading textbook for the course, Winston's OPERATIONS RESEARCH owes much of its success to its practical orientation and consistent emphasis on model formulation and model building. It moves beyond a mere study of algorithms without sacrificing the rigor that faculty desire. As in every edition, Winston reinforces the book's successful features and coverage with the most recent developments in the field. The Student Suite CDROM, which now accompanies every new copy of the text, contains the latest versions of commercial software for optimization, simulation, and decision analysis. 
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Review: Operations Research: Applications and Algorithms (with CDROM and InfoTrac)
User Review  Aimi Sarah Abdullah  GoodreadsThe example are actually from previous chapter. And the explanation needs extra understanding if your English are intermediate. Read full review
Review: Operations Research: Applications and Algorithms (with CDROM and InfoTrac)
User Review  GoodreadsThe example are actually from previous chapter. And the explanation needs extra understanding if your English are intermediate. Read full review
Contents
An Introduction to Model Building  1 
Basic Linear Algebra  11 
Introduction to Linear Programming  49 
Copyright  
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annual assume barrels basic variables basis remains optimal choose column player compute concave function constraint convex convex function current basis remains decision variables demand determine dollars dual equations example feasible region Figure find the optimal following LP Formulate an LP given in Table goal goal programming Golden Section Search holding cost increase integer investment knapsack problem labor linear programming LINGO lottery LP relaxation Markov chain matrix max problem maximize maximumflow problem method minimize month node nonbasic variable nonnegative objective function objective function coefficient obtain optimal solution optimal tableau optimal zvalue plant Powerco primal probability PROBLEMS Group profit purchased random variable raw material reorder point requires righthand side row player satisfy Section shadow price Shapley value shown in Table simplex algorithm Step subproblem Suppose Theorem Type units utility function vector yields