Science-advisor
REGISTER info/FAQ
Login
username
password
     
forgot password?
register here
 
Research articles
  search articles
  reviews guidelines
  reviews
  articles index
My Pages
my alerts
  my messages
  my reviews
  my favorites
 
 
Stat
Members: 3645
Articles: 2'504'928
Articles rated: 2609

25 April 2024
 
  » arxiv » 2010.05805

 Article overview



New Algorithms and Lower Bounds for LIS Estimation
Ilan Newman ; Nithin Varma ;
Date 12 Oct 2020
AbstractEstimating the length of the longest increasing subsequence (LIS) in an array is a problem of fundamental importance. In this paper, we investigate the two aspects of adaptivity and parameterization in sublinear-time algorithms for LIS estimation. We first show that adaptivity helps in LIS estimation, specifically, for every constant $epsilon in (0,1)$, every nonadaptive algorithm that outputs an estimate of the length of the LIS in an array of length $n$ to within an additive error of $epsilon cdot n$ has to make $log^{Omega(log (1/epsilon))} n)$ queries. This is the first lower bound on LIS estimation that is significantly larger than the query complexity of testing sortedness. In contrast, there is an adaptive algorithm (Saks, and Seshadhri; 2017) for the same problem with query complexity polylogarithmic in $n$.
Next, we design nonadaptive LIS estimation algorithms whose complexity is parameterized in terms of the number of distinct values $r$ in the array. We first present a simple algorithm that makes $ ilde{O}(r/epsilon^3)$ queries and approximates the LIS with an additive error bounded by $epsilon n$. We then use it to construct a nonadaptive algorithm with query complexity $ ilde{O}(sqrt{r}/lambda^2)$ that, for an array in which the LIS is of length at least $lambda n$, outputs a $O(lambda)$ multiplicative approximation to the length of the LIS. Our algorithm improves upon state of the art nonadaptive algorithms for LIS estimation (for $r=n$) in terms of approximation guarantee.
Finally, we describe a nonadaptive erasure-resilient tester for sortedness, with query complexity $O(log n)$. Our result implies that nonadaptive tolerant testing is strictly harder than nonadaptive erasure-resilient testing for the natural property of sortedness, thereby making progress towards solving an open question (Raskhodnikova, Ron-Zewi, and Varma; 2019).
Source arXiv, 2010.05805
Services Forum | Review | PDF | Favorites   
 
Visitor rating: did you like this article? no 1   2   3   4   5   yes

No review found.
 Did you like this article?

This article or document is ...
important:
of broad interest:
readable:
new:
correct:
Global appreciation:

  Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.

browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)






ScienXe.org
» my Online CV
» Free


News, job offers and information for researchers and scientists:
home  |  contact  |  terms of use  |  sitemap
Copyright © 2005-2024 - Scimetrica