A tight Monte-Carlo algorithm for Steiner Tree parameterized by clique-width
Narek Bojikian, Stefan Kratsch

TL;DR
This paper presents a new algorithm for the Steiner Tree problem parameterized by clique-width, achieving a tight running time of 3^k n^{O(1)}, closing a significant complexity gap and advancing the understanding of parameterized algorithms.
Contribution
The authors develop a tight Monte-Carlo algorithm for Steiner Tree parameterized by clique-width with a running time of 3^k n^{O(1)}, improving previous bounds and resolving a key complexity gap.
Findings
Steiner Tree can be solved in time 3^k n^{O(1)} given a k-clique-expression.
A representative submatrix of GF(2)-rank 3^k is constructed, ruling out larger triangular submatrices.
The approach isolates a unique solution representation, enabling counting solutions modulo 2.
Abstract
Recently, Hegerfeld and Kratsch [ESA 2023] obtained the first tight algorithmic results for hard connectivity problems parameterized by clique-width. Concretely, they gave one-sided error Monte-Carlo algorithms that given a -clique-expression solve Connected Vertex Cover in time and Connected Dominating Set in time . Moreover, under the Strong Exponential-Time Hypothesis (SETH) these results were showed to be tight. However, they leave open several important benchmark problems, whose complexity relative to treewidth had been settled by Cygan et al. [SODA 2011 & TALG 2018]. Among which is the Steiner Tree problem. As a key obstruction they point out the exponential gap between the rank of certain compatibility matrices, which is often used for algorithms, and the largest triangular submatrix therein, which is essential for current lower bound methods.…
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