code | CS403 |

credit_hours | 3 |

title | Optimization Techniques |

arbic title | |

prequisites | CS301 |

credit hours | 3 |

Describtion/Outcomes | Solution of Ordinary differential equations, Optimization Models in Operations Research Linear and Non-linear models, Simplex Search for Linear Programming, Duality and Sensitivity in Linear Programming, Multi-objective Optimization and Goal Programming, Unconstrained Nonlinear Programming, Selected Methods for Constrained Nonlinear Programming : Lagrange Multiplier Methods and Penalty and Barrier Methods. |

arabic Describtion/Outcomes | |

objectives | Upon completion of this course, students should be able to: 1. Solve Ordinary differential equations. 2. Use mathematical models in which one seeks to minimize or maximize an objective subject to constraints. 3. Solve linear programming problems. 4. Solve nonlinear programming problems. 5. Find solution methods for optimization models using optimization software. 6. Understand Multi-objective Optimization and Goal Programming. |

arabic objectives | |

ref. books | Steven C. Chapra and Raymond P. Canale, Numerical Methods for Engineers with Software and Programming Applications, 4th Edition, McGraw Hill, 2002. |

arabic ref. books | |

textbook | Ronald L. Rardin, Optimization in Operations Research, Prentice Hall, 1998. |

arabic textbook | |

objective set | combined |

content set | bullets |