## 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 88

Page 192

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**equations**refer to the constraint boundary**equations**that yield ( define ) the indicated CPF solution . For any linear programming problem with n decision variables , each CPF solution lies at the intersection of n constraint boundaries ...Page 199

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**equations**, which we called its defining**equations**. The key ques- tion is : How do we tell whether a particular constraint boundary**equation**is one of the defining**equations**when the problem is in augmented form ? The answer ...Page 200

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**equation**in addition to its n defining**equations**. ) Therefore , it is neces- sary to keep track of which is the current set of nonbasic variables ( or the current set of basic variables ) rather than to rely upon their zero values . We ...### 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