Parameterized Lower Bounds for Problems in P via Fine-Grained Cross-Compositions
Klaus Heeger, Andr\'e Nichterlein, Rolf Niedermeier

TL;DR
This paper introduces a framework based on cross-compositions to establish lower bounds on parameterized running times for various problems, showing that certain faster algorithms are unlikely under complexity hypotheses.
Contribution
It provides a general method to exclude specific parameterized running times for problems in P using fine-grained complexity assumptions, extending the understanding of algorithmic limits.
Findings
Excludes certain parameterized running times for Longest Common Subsequence and Discrete Fréchet Distance.
Excludes specific bounds for Negative Triangle, Triangle Collection, and 2nd Shortest Path problems.
Shows tightness of known algorithms for most problems under the proposed framework.
Abstract
We provide a general framework to exclude parameterized running times of the form for problems that have polynomial running time lower bounds under hypotheses from fine-grained complexity. Our framework is based on cross-compositions from parameterized complexity. We (conditionally) exclude running times of the form for any and for the following problems: - Longest Common Subsequence: Given two length- strings and , is there a common subsequence of length ? - Discrete Fr\'echet Distance: Given two lists of points each and , is the Fr\'echet distance of the lists at most ? Here is the maximum number of points which one list is ahead of the other list in an optimum traversal. Moreover, we exclude running times…
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