## 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 74

Page 170

The column to the right of these values

discussed reduced costs in this chapter because the information they provide can

also be gleaned from the allowable range to stay optimal for the coefficients in

the ...

The column to the right of these values

**gives**the reduced costs . We have notdiscussed reduced costs in this chapter because the information they provide can

also be gleaned from the allowable range to stay optimal for the coefficients in

the ...

Page 231

For the primal problem , each column ( except the Right Side column )

coefficients of a single variable in the respective constraints and then in the

objective function , whereas each row ( except the bottom one )

parameters ...

For the primal problem , each column ( except the Right Side column )

**gives**thecoefficients of a single variable in the respective constraints and then in the

objective function , whereas each row ( except the bottom one )

**gives**theparameters ...

Page 1121

For each iteration of the simulation , the maximum of the six path lengths

the duration of the project ( in weeks ) . One output cell

other indicates whether this duration meets the deadline by not exceeding 47 ...

For each iteration of the simulation , the maximum of the six path lengths

**gives**the duration of the project ( in weeks ) . One output cell

**gives**this duration and theother indicates whether this duration meets the deadline by not exceeding 47 ...

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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