## 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

Results 1-3 of 73

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**estimates**for the respective activities ( where the most likely**estimate**is labeled as the ex- pected duration ) ...**estimates**. Using the " Cal- culate PERT " option on this toolbar recalculates " Duration " with the above formula to ...Page 517

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**estimated**durations of the activities in this figure turn out to be the same as the mean durations given in Table 10.4 ( Sec . 10.4 ) when using the PERT three -**estimate**approach . Now suppose that the pessimistic**estimates**in Table ...Page 518

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**estimates**that led to the**estimates**of the mean and variance of the duration of the activity ( rounded to the near- est integer ) given in the table for Prob . 10.4-2 . ect . Using the PERT three -**estimate**approach , Bill has obtained ...### 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 cost CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming 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 shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero