## 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 159

The “ Final

The “ Final

**Value**” column gives the**value**of each constraint's left - hand side for the optimal solution . ... For any bi , its allowable range to stay feasible is the range of**values**for this right - hand side over which the current ...Page 255

Usually there will be some parameters that can be assigned any reasonable

Usually there will be some parameters that can be assigned any reasonable

**value**without the optimality of ... However , there may also be parameters with likely alternative**values**that would yield a new optimal solution .Page 299

Specifically , for each parameter , determine the allowable range of

Specifically , for each parameter , determine the allowable range of

**values**for which the current basic solution ( perhaps with new**values**for the basic variables ) will remain both feasible and optimal . Then , for each parameter and ...### 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