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Restricting the characterization results in well-known subclasses of chordal graphs such as interval graphs or split graphs. A typical example of a problem that does not behave computationally the same in all subclasses of chordal graphs is the\n                    <jats:sc>Subset Feedback Vertex Set<\/jats:sc>\n                    (SFVS) problem: given a vertex-weighted graph\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$G=(V,E)$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mi>G<\/mml:mi>\n                            <mml:mo>=<\/mml:mo>\n                            <mml:mo>(<\/mml:mo>\n                            <mml:mi>V<\/mml:mi>\n                            <mml:mo>,<\/mml:mo>\n                            <mml:mi>E<\/mml:mi>\n                            <mml:mo>)<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    and a set\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$S\\subseteq V$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mi>S<\/mml:mi>\n                            <mml:mo>\u2286<\/mml:mo>\n                            <mml:mi>V<\/mml:mi>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    , we seek for a vertex set of minimum weight that intersects all cycles containing a vertex of\n                    <jats:italic>S<\/jats:italic>\n                    . SFVS is known to be polynomial-time solvable on interval graphs, whereas SFVS remains\n                    <jats:sc>np<\/jats:sc>\n                    -complete on split graphs and, consequently, on chordal graphs. Towards a better understanding of the complexity of SFVS on subclasses of chordal graphs, we exploit structural properties of a tree model in order to cope with the hardness of SFVS. Here we consider the\n                    <jats:italic>leafage<\/jats:italic>\n                    , which measures the minimum number of leaves in a tree model. We show that SFVS can be solved in polynomial time for every chordal graph with bounded leafage. In particular, given a chordal graph on\n                    <jats:italic>n<\/jats:italic>\n                    vertices with leafage\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\ell $$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mi>\u2113<\/mml:mi>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    , we provide an algorithm for solving SFVS with running time\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$n^{O(\\ell )}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:msup>\n                            <mml:mi>n<\/mml:mi>\n                            <mml:mrow>\n                              <mml:mi>O<\/mml:mi>\n                              <mml:mo>(<\/mml:mo>\n                              <mml:mi>\u2113<\/mml:mi>\n                              <mml:mo>)<\/mml:mo>\n                            <\/mml:mrow>\n                          <\/mml:msup>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    , thus improving upon\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$n^{O(\\ell ^2)}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:msup>\n                            <mml:mi>n<\/mml:mi>\n                            <mml:mrow>\n                              <mml:mi>O<\/mml:mi>\n                              <mml:mo>(<\/mml:mo>\n                              <mml:msup>\n                                <mml:mi>\u2113<\/mml:mi>\n                                <mml:mn>2<\/mml:mn>\n                              <\/mml:msup>\n                              <mml:mo>)<\/mml:mo>\n                            <\/mml:mrow>\n                          <\/mml:msup>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    , which is the running time of an approach that utilizes the previously known algorithm for graphs with bounded mim-width. We complement our result by showing that SFVS is\n                    <jats:sc>w<\/jats:sc>\n                    [1]-hard parameterized by\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\ell $$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mi>\u2113<\/mml:mi>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    . Pushing further our positive result, it is natural to also consider the\n                    <jats:italic>vertex leafage<\/jats:italic>\n                    , which measures the minimum upper bound on the number of leaves of every subtree in a tree model. However, we show that it is unlikely to obtain a similar result, as we prove that SFVS remains\n                    <jats:sc>np<\/jats:sc>\n                    -complete on undirected path graphs, i.e., chordal graphs having vertex leafage at most two. Lastly, we provide a polynomial-time algorithm for solving SFVS on rooted path graphs, a proper subclass of undirected path graphs and graphs with mim-width one, which is faster than the approach of constructing a graph decomposition of mim-width one and applying the previously known algorithm for graphs with bounded mim-width.\n                  <\/jats:p>","DOI":"10.1007\/s00453-023-01149-5","type":"journal-article","created":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T01:02:12Z","timestamp":1689210132000},"page":"874-906","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Computing a Minimum Subset Feedback Vertex Set on Chordal Graphs Parameterized by Leafage"],"prefix":"10.1007","volume":"86","author":[{"given":"Charis","family":"Papadopoulos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Spyridon","family":"Tzimas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,13]]},"reference":[{"issue":"5","key":"1149_CR1","doi-asserted-by":"publisher","first-page":"1385","DOI":"10.1007\/s00453-022-00936-w","volume":"84","author":"B Bergougnoux","year":"2022","unstructured":"Bergougnoux, B., Papadopoulos, C., Telle, J.A.: Node multiway cut and subset feedback vertex set on graphs of bounded mim-width. 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