## 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 179

and I (a) Using the two-phase method, work through phase 1 step by step. c (b)

Use a software package based on the simplex method to formulate and solve the

...

**Minimize**Z = lx, + x2 + 3*3, subject to 5*, + 2*2 + 7*, = 420 3*, + 2*2 + 5*3 a 280and I (a) Using the two-phase method, work through phase 1 step by step. c (b)

Use a software package based on the simplex method to formulate and solve the

...

Page 248

6.4-7 and 6A-2a) that an equality constraint in the primal problem should be

treated just like a :£ constraint in TABLE 6.13 Constructing the dual of the dual

problem Dual Problem Converted to Standard Form

yA>c ...

6.4-7 and 6A-2a) that an equality constraint in the primal problem should be

treated just like a :£ constraint in TABLE 6.13 Constructing the dual of the dual

problem Dual Problem Converted to Standard Form

**Minimize**W = yb, subject toyA>c ...

Page 415

Other Applications Not all applications of the shortest-path problem involve

Other Applications Not all applications of the shortest-path problem involve

**minimizing**the distance traveled from the origin to the destination. In fact, they ...**Minimize**the total distance traveled, as in the Seervada Park example. 2.**Minimize**the ...### 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