## 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 90

Page 119

Choose X1 and x2 to be the

Choose X1 and x2 to be the

**nonbasic variables**( = 0 ) for the initial BF solution : ( 0 , 0 , 4 , 12 , 18 ) . Not optimal , because increasing either**nonbasic variable**( X1 or x2 ) increases Z. Optimality test Iteration 1 Not optimal ...Page 199

Each constraint has an indicating variable that completely indicates ( by whether its value is zero ) whether that ... Each basic solution has m basic variables , and the rest of the variables are

Each constraint has an indicating variable that completely indicates ( by whether its value is zero ) whether that ... Each basic solution has m basic variables , and the rest of the variables are

**nonbasic variables**set equal to zero .Page 200

Thus , it is possible for a variable to be zero and still not be a

Thus , it is possible for a variable to be zero and still not be a

**nonbasic variable**for the current BF solution . ( This case corresponds to a CPF solution that satisfies another constraint boundary equation in addition to its n ...### What people are saying - Write a review

User Review - Flag as inappropriate

i

User Review - Flag as inappropriate

I want review this book

### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

SUPPLEMENT TO CHAPTER | 18 |

Copyright | |

52 other sections not shown

### Other editions - View all

### 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