Every randomized algorithm can be simulated by a deterministic algorithm, at the expense of an exponential increase in running time. Derandomization is about converting randomized algorithms into efficient deterministic algorithms.
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Efficient and simple randomized algorithms where determinism is difficultWhy does randomness have stronger effect on reductions than on algorithms?
Running a BPP algorithm with a half-random, half-adversarial string
Efficient and simple randomized algorithms where determinism is difficult
Examples of successful derandomization from BPP to P
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