Aug 2, 2013 · We develop a polylogarithmic time randomized algorithm that for any constant \delta > 0, estimates the length of the LIS of an array to within ...
We develop a polylogarithmic time randomized algorithm that for any constant δ > 0 , estimates the length of the LIS of an array to within an additive error of ...
In this paper, we develop a randomized approximation algorithm, that for any constant δ > 0, runs in time polylogarithmic in n and estimates the length of the ...
We develop a polylogarithmic time randomized algorithm that for any constant δ > 0 , estimates the length of the LIS of an array to within an additive error of ...
Abstract. Finding the length of the longest increasing subsequence (LIS) is a classic algorithmic problem. Let n denote the size of the array.
We develop a polylogarithmic time randomized algorithm that for any constant $\delta > 0$, estimates the length of the LIS of an array to within an additive ...
▫ Suppose every “chain” has at most (1-μ)s points. ▫ Find chain with largest sum of estimates. ▫ We get δ(1-μ)-approx. ▫ But there are more than poly(n) chains!
A randomized approximation algorithm, that for any constant delta > 0, runs in time polylogarithmic in n and estimates the length of the LIS of an array up ...
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We show that for any n ∈ N and λ = o(1), there exists a (randomized) non-adaptive algorithm that, given a sequence of length n with LIS ≥ λn, approximates the ...
Published in SIAM journal on computing (Print) by Society for Industrial & Applied Mathematics (SIAM). 2017 Volume 46, p774-823 ...