## 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

Results 1-3 of 89

Page 115

The

The

**slack**variable for this constraint is defined to be X3 4 – x1 , which is the amount of**slack**in the left - hand side of the inequality . Thus , Xi + x3 = 4 . Given this equation , xi s 4 if and only if 4 - xy = xz 20.Page 212

The insight involves the coefficients of the

The insight involves the coefficients of the

**slack**variables and the information they give . It is a direct result of the initialization , where the ith**slack**variable xn + , is given a coefficient of +1 in Eq . ( i ) and a coefficient ...Page 484

The

The

**slack**for an activity is the difference between its latest finish time and its earliest finish time . In symbols ,**Slack**= LF - EF . ( Since LF – EF = LS – ES , either difference actually can be used to calculate**slack**. ) ...### 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