## 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 408

The arcs of a network may have a

The arcs of a network may have a

**flow**of some type through them , e.g. , the**flow**of trams on the roads of Seervada Park in Sec . 9.1 . Table 9.1 gives several examples of**flow**in typical networks . If**flow**through an arc is allowed in ...Page 422

Maximize the

Maximize the

**flow**of oil through a system of pipelines . 4. Maximize the**flow**of water through a system of aqueducts . 5. Maximize the**flow**of vehicles through a transportation network . For some of these applications , the**flow**through ...Page 429

Employing the equations given in the bottom right - hand corner of the figure , these flows then are used to calculate the net

Employing the equations given in the bottom right - hand corner of the figure , these flows then are used to calculate the net

**flow**generated at each of the nodes ( see columns H and I ) . These net flows are required to be 0 for the ...### 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