## 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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**allowable range**to stay optimal for each coefficient c ; in the objective function . For any cj , its**allowable range**to stay optimal is the range of values for this coefficient over which the current optimal solution remains optimal ...Page 266

... range of values for b2 is referred to as its

... range of values for b2 is referred to as its

**allowable range**to stay feasible . For any b1 , recall from Sec . 4.7 that its**allowable range**to stay feasible is the range of values over which the current optimal BF solution ' ( with ...Page 272

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**allowable range**. Figure 6.3 provides graphical insight into why c1 ≤ 71⁄2 is the**allowable range**. At c1 = 7 , the objective function becomes Z = 7.5x1 + 5x2 = 2.5 ( 3x1 + 2x2 ) , so the opti- C1 mal objective line will lie on top 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 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 subject 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