## 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 75

Page 539

In general , the states are the various

In general , the states are the various

**possible**conditions in which the system might be at that stage of the problem . The number of states may be either finite ( as in the stagecoach problem ) or infinite ( as in some subsequent ...Page 556

We now have an infinite number of

We now have an infinite number of

**possible**states ( 240 SS3 S 255 ) , so it is no longer feasible to solve separately for x * for each**possible**value of S3 . Therefore , we instead have solved for x3 as a function of the unknown Sz ...Page 1105

For example , suppose that only three digits are desired , so that the

For example , suppose that only three digits are desired , so that the

**possible**values can be expressed as 000 , 001 , ... , 999 . In such a case , the usual procedure still is to use m = 2 ” or m = 10 ^ , so that an extremely large ...### What people are saying - Write a review

Reviews aren't verified, but Google checks for and removes fake content when it's identified

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

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