## 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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Results 1-3 of 83

Page 222

( b ) Develop a table giving each of the CPF solutions and the

defining equations , BF solution , and nonbasic variables . Calculate Z for each of

these solutions , and use just this information to identify the optimal solution .

( b ) Develop a table 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 this information to identify the optimal solution .

Page 235

Before this goal has been reached , the

slack variables ) of the current tableau must be infeasible for the dual problem .

However , after the goal is reached , the

Before this goal has been reached , the

**corresponding**y in row 0 ( coefficients ofslack variables ) of the current tableau must be infeasible for the dual problem .

However , after the goal is reached , the

**corresponding**y must be an optimal ...Page 252

With the Big M method , since M has been added initially to the coefficient of each

artificial variable in row 0 , the current value of each

is the current coefficient of this artificial variable minus M . For example , look at ...

With the Big M method , since M has been added initially to the coefficient of each

artificial variable in row 0 , the current value of each

**corresponding**dual variableis the current coefficient of this artificial variable minus M . For example , look at ...

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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