Weighted $k$-Path and Other Problems in Almost $O^*(2^k)$ Deterministic Time via Dynamic Representative Sets
Jesper Nederlof

TL;DR
This paper introduces a Dynamic Representative Set data structure that enables faster deterministic algorithms for weighted $k$-Path and related problems, achieving near $O^*(2^k)$ time complexity.
Contribution
The paper presents a novel Dynamic Representative Set data structure with efficient update and query operations, leading to improved deterministic algorithms for weighted $k$-Path and similar problems.
Findings
Achieves $2^{k+O(\sqrt{k}\log^2k)}(n+m)\log n$ time for weighted directed $k$-Path.
Provides a data structure with $2^{k+O(\sqrt{k}\log^2k)}\log n$ query time after preprocessing.
Answers a major open problem by approaching near $O^*(2^k)$ deterministic time complexity.
Abstract
We present a data structure that we call a Dynamic Representative Set. In its most basic form, it is given two parameters and allows us to maintain a representation of a family of subsets of . It supports basic update operations (unioning of two families, element convolution) and a query operation that determines for a set whether there is a set of size at most such that and are disjoint. After preprocessing time, all operations use time. Our data structure has many algorithmic consequences that improve over previous works. One application is a deterministic algorithm for the Weighted Directed -Path problem, one of the central problems in parameterized complexity. Our algorithm takes as input an -vertex…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Algorithms and Data Compression
