Randomized Logarithmic-space (RL),[1] sometimes called RLP (Randomized Logarithmic-space Polynomial-time),[2] is the complexity class of computational complexity theory problems solvable in logarithmic space and polynomial time with probabilistic Turing machines with one-sided error. It is named in analogy with RP, which is similar but has no logarithmic space restriction.
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