The lab exercises typically involve implementing classic algorithms like sorting, searching, graph traversal (BFS, DFS), shortest path algorithms (Dijkstra, Bellman-Ford), divide-and-conquer techniques, dynamic programming (Floyd-Warshall, Knapsack problem), greedy algorithms, and more. These programs serve as the foundation for tackling more complex computational problems in future studies or projects.
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