Algorithm Vision

Greedy Algorithms

Make locally optimal choices that lead to globally optimal solutions. Study activity selection, Huffman coding for data compression, and fractional knapsack problems. Understand when greedy algorithms work (optimal substructure + greedy choice property) and see applications in scheduling, compression, and network optimization.

1 algorithm

Activity Selection

Beginner

Select the maximum number of non-overlapping activities. Classic greedy algorithm that always picks the activity finishing earliest.

O(n log n)
O(n)
greedyscheduling
Start Learning

💡 Learning Tip

Start with the beginner-level algorithms to build your foundation, then progress to intermediate and advanced topics. Each algorithm includes interactive visualizations, complexity analysis, and code examples in multiple languages.