Twin-Width Meets Feedback Edges and Vertex Integrity
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00136984" target="_blank" >RIV/00216224:14330/24:00136984 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.4230/LIPIcs.IPEC.2024.3" target="_blank" >https://doi.org/10.4230/LIPIcs.IPEC.2024.3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4230/LIPIcs.IPEC.2024.3" target="_blank" >10.4230/LIPIcs.IPEC.2024.3</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Twin-Width Meets Feedback Edges and Vertex Integrity
Popis výsledku v původním jazyce
The approximate computation of twin-width has attracted significant attention already since the moment the parameter was introduced. A recently proposed approach (STACS 2024) towards obtaining a better understanding of this question is to consider the approximability of twin-width via fixed-parameter algorithms whose running time depends not on twin-width itself, but rather on parameters which impose stronger restrictions on the input graph. The first step that article made in this direction is to establish the fixed-parameter approximability of twin-width (with an additive error of 1) when the runtime parameter is the feedback edge number. Here, we make several new steps in this research direction and obtain: (1) An asymptotically tight bound between twin-width and the feedback edge number; (2) A significantly improved fixed-parameter approximation algorithm for twin-width under the same runtime parameter (i.e., the feedback edge number) which circumvents many of the technicalities of the original result and simultaneously avoids its formerly non-elementary runtime dependency; and (3) An entirely new fixed-parameter approximation algorithm for twin-width when the runtime parameter is the vertex integrity of the graph.
Název v anglickém jazyce
Twin-Width Meets Feedback Edges and Vertex Integrity
Popis výsledku anglicky
The approximate computation of twin-width has attracted significant attention already since the moment the parameter was introduced. A recently proposed approach (STACS 2024) towards obtaining a better understanding of this question is to consider the approximability of twin-width via fixed-parameter algorithms whose running time depends not on twin-width itself, but rather on parameters which impose stronger restrictions on the input graph. The first step that article made in this direction is to establish the fixed-parameter approximability of twin-width (with an additive error of 1) when the runtime parameter is the feedback edge number. Here, we make several new steps in this research direction and obtain: (1) An asymptotically tight bound between twin-width and the feedback edge number; (2) A significantly improved fixed-parameter approximation algorithm for twin-width under the same runtime parameter (i.e., the feedback edge number) which circumvents many of the technicalities of the original result and simultaneously avoids its formerly non-elementary runtime dependency; and (3) An entirely new fixed-parameter approximation algorithm for twin-width when the runtime parameter is the vertex integrity of the graph.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
International Symposium on Parameterized and Exact Computation (IPEC)
ISBN
9783959773539
ISSN
1868-8969
e-ISSN
—
Počet stran výsledku
22
Strana od-do
„3:1“-„3:22“
Název nakladatele
Schloss Dagstuhl - Leibniz-Zentrum f{"{u}}r Informatik
Místo vydání
Dagstuhl
Místo konání akce
Egham
Datum konání akce
4. 9. 2024
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—