• Media type: Text; E-Article; Electronic Conference Proceeding
  • Title: Approximate Trace Reconstruction via Median String (In Average-Case)
  • Contributor: Chakraborty, Diptarka [Author]; Das, Debarati [Author]; Krauthgamer, Robert [Author]
  • Published: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2021
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.FSTTCS.2021.11
  • Keywords: Trace Reconstruction ; Approximation Algorithms ; String Median ; Edit Distance
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  • Description: We consider an approximate version of the trace reconstruction problem, where the goal is to recover an unknown string s ∈ {0,1}ⁿ from m traces (each trace is generated independently by passing s through a probabilistic insertion-deletion channel with rate p). We present a deterministic near-linear time algorithm for the average-case model, where s is random, that uses only three traces. It runs in near-linear time Õ(n) and with high probability reports a string within edit distance Õ(p² n) from s, which significantly improves over the straightforward bound of O(pn). Technically, our algorithm computes a (1+ε)-approximate median of the three input traces. To prove its correctness, our probabilistic analysis shows that an approximate median is indeed close to the unknown s. To achieve a near-linear time bound, we have to bypass the well-known dynamic programming algorithm that computes an optimal median in time O(n³).
  • Access State: Open Access