English

Trading Determinism for Time in Space Bounded Computations

Computational Complexity 2016-06-16 v1

Abstract

Savitch showed in 19701970 that nondeterministic logspace (NL) is contained in deterministic O(log2n)\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 O(log2n)\mathcal{O}(\log^2 n) space and simultaneously runs in polynomial time.

Cite

@article{arxiv.1606.04649,
  title  = {Trading Determinism for Time in Space Bounded Computations},
  author = {Vivek Anand T Kallampally and Raghunath Tewari},
  journal= {arXiv preprint arXiv:1606.04649},
  year   = {2016}
}

Comments

Accepted in MFCS 2016

R2 v1 2026-06-22T14:25:40.884Z