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Trading Determinism for Time in Space Bounded Computations
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abstract
Savitch showed in $1970$ that nondeterministic logspace (NL) is contained in deterministic $\mathcal{O}(\log^2 n)$ space but his algorithm requires quasipolynomial time. The question whether we can have a deterministic algorithm for every problem in NL that requires polylogarithmic space and simultaneously runs in polynomial time was left open. In this paper we give a partial solution to this problem and show that for every language in NL there exists an unambiguous nondeterministic algorithm that requires $\mathcal{O}(\log^2 n)$ space and simultaneously runs in polynomial time.
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Linear Matroid Intersection is in Catalytic Logspace
Linear matroid intersection is solvable in catalytic logspace with polynomial time, the hardest problem yet known to lie in the class CL.
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