greedy-algorithms

What problem does it solve?

Greedy algorithms provide a disciplined framework for obtaining fast, often optimal, solutions by making locally optimal choices and proving safety.

Core Features & Use Cases

• Provides a proven skeleton for greedy correctness through exchange arguments and safety proofs.
• Helps decide when to favor greedy strategies versus dynamic programming or other methods.
• Covers classic problems such as Activity Selection, Fractional Knapsack, Huffman Coding, and Offline Caching.

Quick Start

Validate a proposed greedy rule by identifying the greedy choice, showing the residual subproblem remains of the same form, and proving safety with an exchange argument.