## 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 71

Page 306

For the optimal solution

good weather scenario considered in parts (a) to (d)]. calculate what the family's

monetary worth would be at the end of the year if each of ihc other five scenarios

...

For the optimal solution

**obtained**under each of the six scenarios [including thegood weather scenario considered in parts (a) to (d)]. calculate what the family's

monetary worth would be at the end of the year if each of ihc other five scenarios

...

Page 397

D.I (b) Use the northwest corner rule to

problem. d.i (c) Starting with the initial ... BF solution for this problem. d.i (g)

Starting with the initial BF solution

transportation ...

D.I (b) Use the northwest corner rule to

**obtain**an initial BF solution for thisproblem. d.i (c) Starting with the initial ... BF solution for this problem. d.i (g)

Starting with the initial BF solution

**obtained**from part (/), interactively apply thetransportation ...

Page 718

solution (*!, *2) = (0, 0), use one iteration of the Frank- Wolfe algorithm to

exactly the same solution you found in part (c) of ... Explain why exactly the same

results would be

solution (*!, *2) = (0, 0), use one iteration of the Frank- Wolfe algorithm to

**obtain**exactly the same solution you found in part (c) of ... Explain why exactly the same

results would be

**obtained**on these two iterations with any other trial solution.### What people are saying - Write a review

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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