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This lecture covers the complexity analysis of algorithms, focusing on sorting techniques like selection sort and recursive algorithms. It explains the concepts of maximal value, finding minimum position, and swapping elements in a list. The instructor demonstrates the implementation of recursive algorithms to find the largest number in a list and the maximal number using recursion. Additionally, the lecture introduces binary search for finding elements in a sorted list, emphasizing the divide-and-conquer approach. Students will gain a deep understanding of algorithmic complexity and recursive problem-solving strategies.
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