## Introduction to Operations ResearchCD-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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Page 153

We nearly always have to solve again several times during the model debugging stage (

We nearly always have to solve again several times during the model debugging stage (

**described**in Secs . 2.3 and 2.4 ) , and we usually have to do so a large number of times during the later stages of postoptimality analysis as well .Page 160

The procedure is

The procedure is

**described**in Sec . 7.2 . 4.8 COMPUTER IMPLEMENTATION If the electronic computer had never been invented , undoubtedly you would have never heard of linear programming and the simplex method . Even though it is possible ...Page 452

Use the alto be a shortest - path problem ? gorithm

Use the alto be a shortest - path problem ? gorithm

**described**in Sec . 9.4 to find the minimum spanning tree ( b ) Use the algorithm**described**in Sec . 9.3 to solve this shortest- for each of these networks . path problem . 9.4-2 .### What people are saying - Write a review

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### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

SUPPLEMENT TO CHAPTER | 18 |

Copyright | |

52 other sections not shown

### Other editions - View all

Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |

### Common terms and phrases

activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero