Greedy Algorithms: Choosing Wisely for Optimal Results
Greedy algorithms work wonders for problems requiring locally optimal choices to achieve a global solution, such as interval scheduling or Huffman encoding. However, not every problem fits this strategy. Always verify the "greedy-choice property" and "optimal substructure" before applying. Implementing greedy methods effectively is about understanding constraints and proving correctness through examples or counterexamples.
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