On weighted graph separation problems and flow-augmentation

August 31, 2022 Β· Declared Dead Β· πŸ› SIAM Journal on Discrete Mathematics

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Eun Jung Kim, TomΓ‘Ε‘ MasaΕ™Γ­k, Marcin Pilipczuk, Roohani Sharma, Magnus WahlstrΓΆm arXiv ID 2208.14841 Category cs.DS: Data Structures & Algorithms Cross-listed cs.CC Citations 8 Venue SIAM Journal on Discrete Mathematics Last Checked 4 months ago
Abstract
One of the first application of the recently introduced technique of \emph{flow-augmentation} [Kim et al., STOC 2022] is a fixed-parameter algorithm for the weighted version of \textsc{Directed Feedback Vertex Set}, a landmark problem in parameterized complexity. In this note we explore applicability of flow-augmentation to other weighted graph separation problems parameterized by the size of the cutset. We show the following. -- In weighted undirected graphs \textsc{Multicut} is FPT, both in the edge- and vertex-deletion version. -- The weighted version of \textsc{Group Feedback Vertex Set} is FPT, even with an oracle access to group operations. -- The weighted version of \textsc{Directed Subset Feedback Vertex Set} is FPT. Our study reveals \textsc{Directed Symmetric Multicut} as the next important graph separation problem whose parameterized complexity remains unknown, even in the unweighted setting.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Data Structures & Algorithms

Died the same way β€” πŸ‘» Ghosted