| Course objectives: Providing a survey of linear and nonlinear optimization problems. Constructing the mathematical models of these problems and evaluating algorithms and programs for solving them. |
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| Course content and structure: Advanced linear programming topics. Different types of integer programming problems. Network optimization problems. Nonlinear programming: various methods for solving unconstrained and constrained optimization problems. |
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| Evaluation method: The student presents his report made about some formerly choosen topic and answers the questions related to the report and some other topics. |
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| Required reading: L. R. Foulds: Optimization Techniques, Springer Verlag, 1981 |
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| Suggested reading: R. Fletcher: Practical Methods of Optimization, John Wiley & Sons, 1987 W. L. Winston: Operations Research, Applications and Algorithms, Thomson, Brooks/Cole, 2004 |
