## 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 78

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**increase**is made as follows :**Increase**x1 ?**Increase**x2 ? Z = 3x1 + 5x2 Rate of improvement in Z = 3 . Rate of improvement in Z = 5 . 5 > 3 , so choose x2 to**increase**. As indicated next , we call x2 the entering basic variable for ...Page 307

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**increase**( assuming no change in the costs for the other schools ) before the current op- timal solution would no longer be optimal . If the allowable**increase**is less than 10 percent , re - solve to find the new optimal solution with a ...Page 807

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**increased**today and yester- day . In particular , if the stock has**increased**for the past two days , it will**increase**tomor- row with probability 0.9 . If the stock**increased**today but decreased yesterday , then it will**increase**...### 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