## 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. |

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Page 409

of or all the arcs in the network are directed arcs, we then distinguish between

directed

sequence of connecting arcs whose direction (if any) is toward node j, so that

flow ...

of or all the arcs in the network are directed arcs, we then distinguish between

directed

**paths**and undirected**paths**. A directed**path**from node i to nodey is asequence of connecting arcs whose direction (if any) is toward node j, so that

flow ...

Page 423

An augmenting

network such that every arc on this

The minimum of these residual capacities is called the residual capacity of the ...

An augmenting

**path**is a directed**path**from the source to the sink in the residualnetwork such that every arc on this

**path**has strictly positive residual capacity.The minimum of these residual capacities is called the residual capacity of the ...

Page 476

However, the project duration will not be longer than one particular

the longest

performed sequentially without interruption. (Otherwise, this would not be the ...

However, the project duration will not be longer than one particular

**path**. This isthe longest

**path**through the project network. The activities on this**path**can beperformed sequentially without interruption. (Otherwise, this would not be the ...

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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