Web Reference: Jan 1, 2010 · 5 Memoization is the conversion of functions into data structures. Usually one wants the conversion to occur incrementally and lazily (on demand of a given domain element--or "key"). In lazy functional languages, this lazy conversion can happen automatically, and thus memoization can be implemented without (explicit) side-effects. May 31, 2011 · What is difference between memoization and dynamic programming? Memoization is a term describing an optimization technique where you cache previously computed results, and return the cached result when the same computation is needed again. Dynamic programming is a technique for solving problems of recursive nature, iteratively and is applicable when the computations of the subproblems overlap ... Aug 21, 2012 · Memoization (Top Down) - Using recursion to solve the sub-problem and storing the result in some hash table. Tabulation (Bottom Up) - Using Iterative approach to solve the problem by solving the smaller sub-problems first and then using it during the execution of bigger problem.
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