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This proof-based course addresses the fundamentals of linear optimization and polytopes and the connection concerning them. The course will provide a rigorous procedure from the algorithms used in linear optimization. The subject areas lined in linear optimization are graphical methods to discover optimum alternatives in two and three dimensions, the simplex algorithm, duality and Farkas' lemma, variation of Value functions, an introduction to integer programming and Chvatal-Gomory cuts.
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The speculation is utilized in addressing issues in parametric/nonparametric methods, two and multi-sample troubles, several hypothesis testing and regression. Just like Stat 607, This is certainly mainly a principle course emphasizing elementary principles and methods.
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