Problem Solving Strategies: General Overview

Related lectures (21)

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

Explores problem-solving strategies like recursion and divide and conquer methods, with examples such as the Towers of Hanoi.

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

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

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

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

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

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