## 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 120

Determining the Direction of Movement ( Step 1 of an Iteration )

Determining the Direction of Movement ( Step 1 of an Iteration )

**Increasing**one nonbasic variable from zero ( while adjusting ... 4.1 , the choice of which nonbasic variable to**increase**is made as follows :**Increase**x1 ?**Increase**x2 ?Page 307

These construction projects have been delaying traffic considerably and are likely to affect the cost of bussing students from area 6 , perhaps

These construction projects have been delaying traffic considerably and are likely to affect the cost of bussing students from area 6 , perhaps

**increasing**them as much as 10 percent . ( c ) Use the report from part ( b ) to check how ...Page 828

Whether the stock goes up tomorrow depends upon whether it

Whether the stock goes up tomorrow depends upon whether it

**increased**today and yesterday . If the stock**increased**today and yesterday , it will**increase**tomor- row with probability a ,. If the stock**increased**today and decreased ...### What people are saying - Write a review

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### 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 allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering 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 linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero