## 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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**CPLEX**file ( or MPL /**CPLEX**/ CONOPT file in the case of the nonlinear programming chapter ) on the CD - ROM that shows how MPL and**CPLEX**would formu- late and solve the relevant examples in the chapter . These files also illustrate how ...Page 102

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**CPLEX**to formulate and solve the model for this problem . ( b ) Use LINGO to formulate and solve this model . c 3.7-3 . Reconsider Prob . 3.4-11 . ( a ) Use MPL /**CPLEX**to formulate and solve the model for this problem . ( b ) Use ...Page 162

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**CPLEX**6.5 also extends beyond lin- ear programming by including state - of - the - art algorithms for integer programming ( Chap . 12 ) and quadratic programming ( Sec . 13.7 ) . Because it often is used to solve really large problems , ...### 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