Designing Algorithms: Recursion and Dynamic Programming

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Explores dynamic programming through binomial coefficients calculation, emphasizing efficiency and memoization in problem-solving.

Explores dynamic programming for efficient problem-solving, illustrated with binomial coefficients and Pascal's triangle.

Covers recursion, dynamic programming, and algorithm design using divide and conquer strategies.

Explores the complexity of calculating binomial coefficients using dynamic programming.

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

Explores the Tower of Hanoi algorithm, recursion, and dynamic programming in solving problems efficiently.

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

Covers dynamic programming techniques for solving the rod cutting and matrix chain multiplication problems.

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

Explores graph algorithms like BFS and DFS, discussing shortest paths, spanning trees, and data structures' role.