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Results tagged with derandomization
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user 2022
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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Optimal bounds for $k$-wise non-uniform random bits
$$s = \Theta( k \cdot ( t + \log n ) )$$
As the question mentions, there is an upper bound of $s \le k\cdot\max\{t,\lceil \log_2 n \rceil\}$ bits for the seed length. Specifically, sample a rando …
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