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In computational complexity, hardness versus randomness refers to the principle that sufficiently hard functions can be turned into pseudorandom generators, so computational hardness lets randomized algorithms be derandomized. This meaning comes from Nisan (1994) in Journal of Computer and System Sciences.[1]
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