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    BPP includes all problems decidable by a probabilistic Tu... — Carmelics
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    Supports→P is a subset of BPP

    BPP includes all problems decidable by a probabilistic Turing machine running in polynomial time with bounded error probability

    Proof of definition segmentsTruth & Knowledge
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    P is a subset of BPPThe standard Turing machine model corresponds to a special case of the probabili...

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    BPP is defined to include all problems solvable by probabilistic Turin...92%BPP is defined to include all problems solvable by a probabilistic Tur...92%Any problem solvable by a deterministic Turing machine is also solvabl...80%Any problem solvable in deterministic or probabilistic polynomial time...77%

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    Nonetheless, \(\mathfrak{P}\) is a useful theoretical model in that it provides a formal medium for implementing procedures which call for certain operations to be carried out simultaneously in parallel. g. , Papadimitriou 1994). But this observation would still be of little practical significance if the algorithms in question achieved such speed up only at the cost of having to employ exponentially many processors relative to the size of their inputs. For in this case it seems that we would hav

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