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In computing, memoization or memoisation is an optimization technique used primarily to speed up computer programs. It works by storing the results of expensive calls to pure functions, so that these results can be returned quickly should the same inputs occur again. It is a type of caching, normally implemented using a hash table. It is a typical…
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function parsing also time memoized call languages results memoize parser functions example used programming cost algorithm use space called value
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Memoization | is a | run-time rather than compile-time optimization | 0.90 | text |
| Memoization | is a | more machine-independent | 0.90 | text |
| Memoization | is a | Singleton pattern | 0.90 | text |
| addition | instance of | strength reduction potentially replaces a costly operation such as multiplication with a less costly operation | 0.80 | text |
| and the results in savings can be highly machine-dependent | instance of | strength reduction potentially replaces a costly operation such as multiplication with a less costly operation | 0.80 | text |
| Lua | instance of | In languages | 0.80 | text |
| more sophisticated techniques exist which allow a function to be replaced by a new function with the same name | instance of | In languages | 0.80 | text |
| which would permit | instance of | In languages | 0.80 | text |
| xxxxxxxxxxxxxxxxbd | instance of | allowing for strings | 0.80 | text |
| Memoization | related to Automatic memoization | While | 0.60 | section |
| Memoization | related to Automatic memoization | The | 0.60 | section |
| Memoization | related to Automatic memoization | Peter Norvig | 0.60 | section |
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