Problem-solving Strategies 2: Recursion

Related lectures (19)

Page 1 of 2

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

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

Explores the concept of divide and conquer in recursive algorithms, exemplified by the Towers of Hanoi.

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

Explores designing algorithms with recursion and dynamic programming, covering concepts like the Towers of Hanoi and efficient solutions.

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

Covers the recursive algorithm for calculating the sum of the first N integers.

Explores the concepts of greedy strategy and dynamic programming in building optimal solutions for various problems.

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

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