## 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 120

Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one

nonbasic variable from zero ( while adjusting the values of the

continue satisfying the system of equations ) corresponds to moving along one ...

Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one

nonbasic variable from zero ( while adjusting the values of the

**basic variables**tocontinue satisfying the system of equations ) corresponds to moving along one ...

Page 129

Tie for the Leaving

Does it matter which one is chosen ? Theoretically it does , and in a very critical ...

Tie for the Leaving

**Basic Variable**- Degeneracy Now suppose that two or more**basic variables**tie for being the leaving**basic variable**in step 2 of an iteration .Does it matter which one is chosen ? Theoretically it does , and in a very critical ...

Page 311

Feasibility test : Check to see whether all the

they are , then this solution is feasible , and therefore optimal , so stop . Otherwise

, go to an iteration . 3 . Iteration : Step 1 Determine the leaving

Feasibility test : Check to see whether all the

**basic variables**are nonnegative . Ifthey are , then this solution is feasible , and therefore optimal , so stop . Otherwise

, go to an iteration . 3 . Iteration : Step 1 Determine the leaving

**basic variable**...### 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 | |

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