Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Introduction to the theory of optimization Students will be prepared by studying relevant subjects from the weekly program
2 Necessary and sufficient conditions for the global maximum or minimum of unrestricted functions Students will be prepared by studying relevant subjects from the weekly program
3 Newton-Raphson method Students will be prepared by studying relevant subjects from the weekly program
4 Constrained optimization of continuous functions Students will be prepared by studying relevant subjects from the weekly program
5 Lagrangian method in the form of equality constraints Students will be prepared by studying relevant subjects from the weekly program
6 Linear programming and the simplex method Students will be prepared by studying relevant subjects from the weekly program
7 The sensitivity analysis Students will be prepared by studying relevant subjects from the weekly program
8 Mid-term exam
9 Expansion of the Lagrangian method in the form inequality constraints Students will be prepared by studying relevant subjects from the weekly program
10 Determination of the Kuhn-Tucker necessary and sufficient conditions for the non-linear constrained problems Students will be prepared by studying relevant subjects from the weekly program
11 Non-linear programming algorithms Students will be prepared by studying relevant subjects from the weekly program
12 Gradient descent method Students will be prepared by studying relevant subjects from the weekly program
13 Quadratic programming Students will be prepared by studying relevant subjects from the weekly program
14 Geometric programming Students will be prepared by studying relevant subjects from the weekly program
15 Stochastic programming Students will be prepared by studying relevant subjects from the weekly program
16-17 Final examination

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