## 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 zero (while adjusting the values of the

continue satisfying the system of equations) corresponds to moving along one

edge ...

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

nonbasic variable from zero (while adjusting the values of the

**basic variables**tocontinue satisfying the system of equations) corresponds to moving along one

edge ...

Page 129

Tie for the Leaving

Tie for the Leaving

**Basic Variable**— Degeneracy Now suppose that two or more**basic variables**tie for being the leaving**basic variable**... First, all the tied**basic****variables**reach zero simultaneously as the entering**basic variable**is increased.Page 311

Feasibility test: Check to see whether all the

they are, then this solution is feasible, and therefore optimal, so stop. Otherwise,

go to an iteration. 3. Iteration: Step 1 Determine the leaving

...

Feasibility test: Check to see whether all the

**basic variables**are nonnegative. Ifthey are, then this solution is feasible, and therefore optimal, so stop. Otherwise,

go to an iteration. 3. Iteration: Step 1 Determine the leaving

**basic variable**: Select...

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### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

An Algorithm for the Assignment Problem | 18 |

Copyright | |

44 other sections not shown

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### Common terms and phrases

activity additional algorithm alternative amount analysis apply assigned assumed basic variable begin BF solution bound calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize maximum mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit weeks