Algorithm Design: Divide and Conquer

Related lectures (22)

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Presents methods for problem-solving, emphasizing 'Divide and Conquer', recursion, and dynamic programming.

Introduces the CS-250 Algorithms course, covering its structure, objectives, and key topics in algorithmic problem-solving.

Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.

Explores optimization problems and greedy algorithms for efficient decision-making.

Explains the merge sort algorithm, its correctness, and time complexity compared to other sorting algorithms.

Provides an overview of essential search and sort algorithms in computer science.

Discusses matrix multiplication using divide-and-conquer techniques and introduces Strassen's algorithm for improved efficiency.

Explores binary search, merge sort, recursion in algorithms, Fibonacci numbers, and dynamic programming.

Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.

Explores the recursive version of insertion sort algorithm, emphasizing recursion and dynamic programming concepts.