Memoization is an optimization technique used primarily in dynamic programming that involves storing the results of expensive function calls and returning the cached result when the same inputs occur again. This technique helps to avoid redundant calculations, thus improving the efficiency of algorithms that deal with overlapping subproblems. By saving previously computed values, it simplifies problem-solving processes, particularly in recursive algorithms.
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