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A greedy algorithm solves an optimization problem by making the choice that looks best at each step and never reconsidering it, building a solution one locally optimal decision at a time. For problems with the right structure (the greedy-choice property and optimal substructure, as in minimum spanning trees or Huffman coding) this yields a provably optimal answer; for many others it is a fast heuristic that can fall short of the best solution. Cormen, Leiserson, Rivest, and Stein's Introduction to algorithms gives the standard treatment of when greedy choices are guaranteed optimal. The referent is this stepwise locally optimal decision strategy.[1]
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