Monadic Memoization Mixins

@inproceedings{Brown2006MonadicMM,
  title={Monadic Memoization Mixins},
  author={Daniel Brown and William R. Cook},
  year={2006}
}
Memoization is a familiar technique for improving the performance of programs: computed answers are saved so that they can be reused later instead of being recomputed. In a pure functional language, memoization of a function is complicated by the need to manage the table of saved answers between calls to the function, including recursive calls within the function itself. A lazy recursive data structure can be used to maintain past answers — although achieving an efficient algorithm can require… CONTINUE READING
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