## Introduction to Operations Research, Volume 1CD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |

### From inside the book

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**cost**by describing the CPM method of time -**cost**trade - offs . Mr. Perty now is ready to turn his focus to**costs**by addressing the last of his ques- tions posed at the end of Sec . 10.1 . Question 9 : How should ongoing**costs**be ...Page 507

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**costs**when all activities begin at their earliest start times ( the top**cost**curve ) or at their latest start times ( the bottom**cost**curve ) . Cumulative Project**Cost**$ 5 million $ 4 million Earliest start time project**cost**schedule ...Page 816

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**costs**to be con- sidered are the ordering**cost**and the penalty**cost**for unsatisfied demand ( storage**costs**are so small they will be ignored ) . It is reasonable to assume that the number of cameras ordered to arrive at the beginning of ...### Other editions - View all

Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |

### Common terms and phrases

activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following constraint boundary corresponding cost Courseware CPF solution CPLEX decision variables dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given graphical identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay right-hand sides sensitivity analysis shadow prices simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero