## 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 85

Page 173

(ht For each CPF solution,

it satisfies. (c) For each CPF solution, use this pair of constraint boundary

equations to solve algebraically for the values of Xi and x2 at the corner point. (d)

For ...

(ht For each CPF solution,

**identify**the pair of constraint bound- ary equations thatit satisfies. (c) For each CPF solution, use this pair of constraint boundary

equations to solve algebraically for the values of Xi and x2 at the corner point. (d)

For ...

Page 222

giving each of the CPF solutions and the corresponding defining equations, BF

solution, and nonbasic variables. Calculate Z for each of these solutions, and use

just ...

**Identify**the CPF solutions by circling them on the graph. (b) Develop a tablegiving each of the CPF solutions and the corresponding defining equations, BF

solution, and nonbasic variables. Calculate Z for each of these solutions, and use

just ...

Page 288

Use this solution to

optimal solution of the primal problem. Directly derive this solution, using

Gaussian elimination. 6.3-7.* Reconsider the model of Prob. 6.l-4b. (a) Construct

its ...

Use this solution to

**identify**the basic variables and the nonbasic variables for theoptimal solution of the primal problem. Directly derive this solution, using

Gaussian elimination. 6.3-7.* Reconsider the model of Prob. 6.l-4b. (a) Construct

its ...

### What people are saying - Write a review

User Review - Flag as inappropriate

i

User Review - Flag as inappropriate

I want review this book

### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

An Algorithm for the Assignment Problem | 18 |

Copyright | |

44 other sections not shown

### Other editions - View all

### 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