{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:10:10Z","timestamp":1750295410726,"version":"3.41.0"},"reference-count":27,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T00:00:00Z","timestamp":1705881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"European Research Council"},{"name":"European Union\u2019s Horizon 2020","award":["759557"],"award-info":[{"award-number":["759557"]}]},{"name":"Academy of Finland Research Fellowship","award":["310415"],"award-info":[{"award-number":["310415"]}]},{"DOI":"10.13039\/501100001665","name":"French National Research Agency","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Algorithms"],"published-print":{"date-parts":[[2024,1,31]]},"abstract":"<jats:p>\n            The fundamental Sparsest Cut problem takes as input a graph\n            <jats:italic>G<\/jats:italic>\n            together with edge capacities and demands and seeks a cut that minimizes the ratio between the capacities and demands across the cuts. For\n            <jats:italic>n<\/jats:italic>\n            -vertex graphs\u00a0\n            <jats:italic>G<\/jats:italic>\n            of treewidth\u00a0\n            <jats:italic>k<\/jats:italic>\n            , Chlamt\u00e1\u010d, Krauthgamer, and Raghavendra (APPROX\u201910) presented an algorithm that yields a factor-\n            <jats:inline-formula content-type=\"math\/tex\">\n              <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(2^{2^k}\\)<\/jats:tex-math>\n            <\/jats:inline-formula>\n            approximation in time\n            <jats:inline-formula content-type=\"math\/tex\">\n              <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(2^{O(k)} \\cdot n^{O(1)}\\)<\/jats:tex-math>\n            <\/jats:inline-formula>\n            . Later, Gupta, Talwar, and Witmer (STOC\u201913) showed how to obtain a 2-approximation algorithm with a blown-up runtime of\n            <jats:inline-formula content-type=\"math\/tex\">\n              <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(n^{O(k)}\\)<\/jats:tex-math>\n            <\/jats:inline-formula>\n            . An intriguing open question is whether one can simultaneously achieve the best out of the aforementioned results, that is, a factor-2 approximation in time\n            <jats:inline-formula content-type=\"math\/tex\">\n              <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(2^{O(k)} \\cdot n^{O(1)}\\)<\/jats:tex-math>\n            <\/jats:inline-formula>\n            .\n          <\/jats:p>\n          <jats:p>\n            In this article, we make significant progress towards this goal via the following results:\n            <jats:list list-type=\"ordered\">\n              <jats:list-item>\n                <jats:label>(i)<\/jats:label>\n                <jats:p>\n                  A factor-\n                  <jats:inline-formula content-type=\"math\/tex\">\n                    <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(O(k^2)\\)<\/jats:tex-math>\n                  <\/jats:inline-formula>\n                  approximation that runs in time\n                  <jats:inline-formula content-type=\"math\/tex\">\n                    <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(2^{O(k)} \\cdot n^{O(1)}\\)<\/jats:tex-math>\n                  <\/jats:inline-formula>\n                  , directly improving the work of Chlamt\u00e1\u010d et\u00a0al. while keeping the runtime single-exponential in\n                  <jats:italic>k<\/jats:italic>\n                  .\n                <\/jats:p>\n              <\/jats:list-item>\n              <jats:list-item>\n                <jats:label>(ii)<\/jats:label>\n                <jats:p>\n                  For any\n                  <jats:inline-formula content-type=\"math\/tex\">\n                    <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(\\varepsilon \\in (0,1]\\)<\/jats:tex-math>\n                  <\/jats:inline-formula>\n                  , a factor-\n                  <jats:inline-formula content-type=\"math\/tex\">\n                    <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(O(1\/\\varepsilon ^2)\\)<\/jats:tex-math>\n                  <\/jats:inline-formula>\n                  approximation whose runtime is\n                  <jats:inline-formula content-type=\"math\/tex\">\n                    <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(2^{O(k^{1+\\varepsilon }\/\\varepsilon)} \\cdot n^{O(1)}\\)<\/jats:tex-math>\n                  <\/jats:inline-formula>\n                  , implying a constant-factor approximation whose runtime is nearly single-exponential in\n                  <jats:italic>k<\/jats:italic>\n                  and a factor-\n                  <jats:inline-formula content-type=\"math\/tex\">\n                    <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(O(\\log ^2 k)\\)<\/jats:tex-math>\n                  <\/jats:inline-formula>\n                  approximation in time\n                  <jats:inline-formula content-type=\"math\/tex\">\n                    <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(k^{O(k)} \\cdot n^{O(1)}\\)<\/jats:tex-math>\n                  <\/jats:inline-formula>\n                  .\n                <\/jats:p>\n              <\/jats:list-item>\n            <\/jats:list>\n          <\/jats:p>\n          <jats:p>\n            Key to these results is a new measure of a tree decomposition that we call\n            <jats:italic>combinatorial diameter<\/jats:italic>\n            , which may be of independent interest.\n          <\/jats:p>","DOI":"10.1145\/3632623","type":"journal-article","created":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T11:27:39Z","timestamp":1699961259000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Approximating Sparsest Cut in Low-treewidth Graphs via Combinatorial Diameter"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2833-0472","authenticated-orcid":false,"given":"Parinya","family":"Chalermsook","sequence":"first","affiliation":[{"name":"Aalto University, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0124-0789","authenticated-orcid":false,"given":"Matthias","family":"Kaul","sequence":"additional","affiliation":[{"name":"Hamburg University of Technology, Institute for Algorithms and Complexity, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4721-5354","authenticated-orcid":false,"given":"Matthias","family":"Mnich","sequence":"additional","affiliation":[{"name":"Hamburg University of Technology, Institute for Algorithms and Complexity, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2601-6452","authenticated-orcid":false,"given":"Joachim","family":"Spoerhase","sequence":"additional","affiliation":[{"name":"University of Sheffield, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3999-7827","authenticated-orcid":false,"given":"Sumedha","family":"Uniyal","sequence":"additional","affiliation":[{"name":"Aalto University, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2224-2185","authenticated-orcid":false,"given":"Daniel","family":"Vaz","sequence":"additional","affiliation":[{"name":"\u00c9cole Normale Sup\u00e9rieure Paris and Universit\u00e9 Paris Cit\u00e9, CNRS, IRIF, 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