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This lecture, taught by the instructor, covers approximation algorithms for optimization problems, focusing on vertex cover. The content includes definitions, algorithm design, complexity analysis, and LP relaxation. The lecture explores the concept of integrality gap and provides insights into the process of solving optimization problems using randomized rounding techniques.