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X-WR-CALDESC:Events for Discrete Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20211105T163000
DTEND;TZID=Asia/Seoul:20211105T173000
DTSTAMP:20260419T214854
CREATED:20211105T073000Z
LAST-MODIFIED:20240707T080839Z
UID:4555-1636129800-1636133400@dimag.ibs.re.kr
SUMMARY:Martin Milanič\, Tree Decompositions with Bounded Independence Number
DESCRIPTION:The independence number of a tree decomposition $\mathcal{T}$ of a graph is the smallest integer $k$ such that each bag of $\mathcal{T}$ induces a subgraph with independence number at most $k$. If a graph $G$ is given together with a tree decomposition with bounded independence number\, then the Maximum Weight Independent Set (MWIS) problem can be solved in polynomial time. Motivated by this observation\, we consider six graph containment relations—the subgraph\, topological minor\, and minor relations\, as well as their induced variants—and for each of them characterize the graphs $H$ for which any graph excluding $H$ with respect to the relation admits a tree decomposition with bounded independence number. Furthermore\, using a variety of tools including SPQR trees and potential maximal cliques\, we show how to obtain such tree decompositions efficiently. \nAs an immediate consequence\, we obtain that the MWIS problem can be solved in polynomial time in an infinite family of graph classes that properly contain the class of chordal graphs. In fact\, our approach shows that the Maximum Weight Independent $\mathcal{H}$-Packing problem\, a common generalization of the MWIS and the Maximum Weight Induced Matching problems\, can be solved in polynomial time in these graph classes. \nThis is joint work with Clément Dallard and Kenny Štorgel.
URL:https://dimag.ibs.re.kr/event/2021-11-05/
LOCATION:Zoom ID: 869 4632 6610 (ibsdimag)
CATEGORIES:Virtual Discrete Math Colloquium
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20211111T163000
DTEND;TZID=Asia/Seoul:20211111T173000
DTSTAMP:20260419T214854
CREATED:20211111T073000Z
LAST-MODIFIED:20240705T181024Z
UID:4668-1636648200-1636651800@dimag.ibs.re.kr
SUMMARY:Sebastian Wiederrecht\, Matching Minors in Bipartite Graphs
DESCRIPTION:Matching minors are a specialisation of minors which preserves the existence and elementary structural properties of perfect matchings. They were first discovered as part of the study of the Pfaffian recognition problem on bipartite graphs (Polya’s Permanent Problem) and acted as a major inspiration for the definition of butterfly minors in digraphs. In this talk we consider the origin and motivation behind the study of matching minors\, the current state of the art\, and their relation to structural digraph theory. The main result is a generalisation of the structure theorem by Robertson et al. and McCuaig for $K_{3\,3}$-matching minor free bipartite graphs to bipartite graphs excluding $K_{t\,t}$ as a matching minor for general t. This generalisation can be seen as a matching theoretic version of the Flat Wall Theorem by Robertson and Seymour.
URL:https://dimag.ibs.re.kr/event/2021-11-11/
LOCATION:Zoom ID: 869 4632 6610 (ibsdimag)
CATEGORIES:Virtual Discrete Math Colloquium
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20211125T163000
DTEND;TZID=Asia/Seoul:20211125T173000
DTSTAMP:20260419T214854
CREATED:20211125T073000Z
LAST-MODIFIED:20240705T181009Z
UID:4552-1637857800-1637861400@dimag.ibs.re.kr
SUMMARY:Tuukka Korhonen\, Fast FPT-Approximation of Branchwidth
DESCRIPTION:Branchwidth determines how graphs\, and more generally\, arbitrary connectivity (basically symmetric and submodular) functions could be decomposed into a tree-like structure by specific cuts. We develop a general framework for designing fixed-parameter tractable (FPT) 2-approximation algorithms for branchwidth of connectivity functions. The first ingredient of our framework is combinatorial. We prove a structural theorem establishing that either a sequence of particular refinement operations could decrease the width of a branch decomposition or that the width of the decomposition is already within a factor of 2 from the optimum. The second ingredient is an efficient implementation of the refinement operations for branch decompositions that support efficient dynamic programming. We present two concrete applications of our general framework. \n\nAn algorithm that for a given n-vertex graph G and integer k in time $2^{2^{O(k)}} n^2$ either constructs a rank decomposition of G of width at most 2k or concludes that the rankwidth of G is more than $k$. It also yields a $(2^{2k+1}−1)$-approximation algorithm for cliquewidth within the same time complexity\, which in turn\, improves to $f(k) n^2$ the running times of various algorithms on graphs of cliquewidth $k$. Breaking the “cubic barrier” for rankwidth and cliquewidth was an open problem in the area.\nAn algorithm that for a given n-vertex graph G and integer k in time $2^{O(k)} n$ either constructs a branch decomposition of G of width at most $2k$ or concludes that the branchwidth of G is more than $k$. This improves over the 3-approximation that follows from the recent treewidth 2-approximation of Korhonen [FOCS 2021].\n\nThis is joint work with Fedor Fomin.
URL:https://dimag.ibs.re.kr/event/2021-11-25/
LOCATION:Zoom ID: 869 4632 6610 (ibsdimag)
CATEGORIES:Virtual Discrete Math Colloquium
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