## 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 72

Page 227

( a ) Use the fundamental insight

numbers in the current simplex tableau . Show your calculations . ( b ) Indicate

which of these missing numbers would be generated by the revised simplex

method ...

( a ) Use the fundamental insight

**presented**in Sec . 5 . 3 to identify the missingnumbers in the current simplex tableau . Show your calculations . ( b ) Indicate

which of these missing numbers would be generated by the revised simplex

method ...

Page 405

One of the linear programming examples

network optimization problem . This is the Distribution Unlimited Co . problem of

how to distribute its goods through the distribution network shown in Fig . 3 . 13 .

One of the linear programming examples

**presented**in Sec . 3 . 4 also is anetwork optimization problem . This is the Distribution Unlimited Co . problem of

how to distribute its goods through the distribution network shown in Fig . 3 . 13 .

Page 639

Use the BIP branch - and - bound algorithm

following problem interactively . Maximize Z = 2xı – x2 + 5x3 – 3x4 + 4x5 , subject

to 3 . x2 – 2x2 + 7x3 – 5x4 + 4x5 5 6 Xy - x2 + 2x3 – 4x4 + 2xs so and x ; is ...

Use the BIP branch - and - bound algorithm

**presented**in Sec . 12 . 6 to solve thefollowing problem interactively . Maximize Z = 2xı – x2 + 5x3 – 3x4 + 4x5 , subject

to 3 . x2 – 2x2 + 7x3 – 5x4 + 4x5 5 6 Xy - x2 + 2x3 – 4x4 + 2xs so and x ; is ...

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### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

An Algorithm for the Assignment Problem | 18 |

Copyright | |

59 other sections not shown

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### 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 constraints Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible 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 nonnegative 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 transportation unit values weeks Wyndor Glass zero