Introduction to Algorithms: Basics and Importance

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

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

Covers graph properties, representations, and traversal algorithms using BFS and DFS.

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

Covers algorithms for searching, sorting, optimization, and the Halting Problem.

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

Introduces recursion and binary search algorithms for efficient problem-solving.

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

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

Covers linear and binary search algorithms for locating items in lists.