## 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 ) Increasing one nonbasic variable from

Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one nonbasic variable from

**zero**( while adjusting the values of the basic vari- ables to continue satisfying the system of equations ) corresponds to moving ...Page 129

First , all the tied basic variables reach

First , all the tied basic variables reach

**zero**simultaneously as the entering basic variable is in- creased . Therefore , the one or ones not chosen to be the leaving basic variable also will have a value of**zero**in the new BF solution ...Page 726

However , the focus in this chapter is on the simplest case , called two - person ,

However , the focus in this chapter is on the simplest case , called two - person ,

**zero**- sum games . As the name implies , these games involve only two adversaries or players ( who may be armies , teams , firms , and so on ) .### 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