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This lecture introduces the fundamental concepts of linear optimization, covering topics such as linear equations, polyhedrons, feasible directions, objective functions, and optimal solutions. The instructor discusses the importance of basic solutions, the relationship between constraints and vertices, and the distinction between feasible and optimal solutions.
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