## Optimization in operations research |

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Optimization in operations research

### Contents

Problem Solving with Mathematical Models | 1 |

n Chapter 3 Improving Search | 77 |

Linear Programming Models | 131 |

Copyright | |

10 other sections not shown

### Common terms and phrases

active Analysis apply arcs assignment barrier basic solution basic variables basis branch and bound CFPL choose class optimization software components compute convex corresponding current solution cycle direction decision variables demand Determine digraph direction Ax discrete dual variable example feasible direction feasible set feasible solution Figure Formulate global global optimum goal program graph improving feasible improving search incumbent solution inequality infeasible integer integer linear program iteration Lagrange multipliers Lagrangian length linear program LP relaxation main constraints matrix maximize maximum minimize move direction multiobjective multiplier negative dicycle network flow node nonbasic nonlinear program nonnegative objective function objective function value objective value optimal path optimal solution optimal value optimization model partial solution posynomial primal principle produce quadratic Sample Exercise schedule Section sequence shortest path shortest path problems shows simplex algorithm simplex direction slack solve standard form Step Table terminate tion tractable unconstrained vector