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opment of algorithms. His emphasis on rigorous analysis, problem-solving paradigms, and practical optimization continues to influence computer science education and research. By distilling complex problems

art 1: Introduction and Fundamentals This section covers: Basics of algorithm design Mathematical foundations Asymptotic notation and analysis Part 2: Fundamental Algorithms Focuses on: Sorting algorithms: Quick sort, Merge sort, Heap sort Searching algorithms: Binary search, Hashing tech