
We revisit a graph width parameter that we dub bipartite treewidth (btw). Bipartite treewidth can be seen as a common generalization of treewidth and the odd cycle transversal number, and is closely related to odd-minors. Intuitively, a bipartite tree decomposition is a tree decomposition whose bags induce almost bipartite graphs and whose adhesions contain at most one "bipartite" vertex, while the width of such decomposition measures the number of "non-bipartite" vertices in a bag. We provide para-NP-completeness results and develop dynamic programming techniques to solve problems on graphs of small btw. In particular, we show that $K_t$-Subgraph-Cover, Weighted Independent Set, Odd Cycle Transversal, and Maximum Weighted Cut are $FPT$ parameterized by btw. We also provide the following dichotomy when $H$ is a 2-connected graph: if $H$ is bipartite, then $H$-Subgraph/Induced-Subgraph/Odd-Minor/Scattered-Packing is para-NP-complete parameterized by btw while, if $H$ is non-bipartite, then the problem is solvable in XP-time.
Presented in IPEC 2023
dynamic programming, FOS: Computer and information sciences, F.2.2; G.2.2, bipartite graphs, Data Structures and Algorithms, tree decomposition, 05C85, 68R10, 05C75, 05C83, 05C75, 05C69, maximum cut, vertex cover, 004, odd cycle transversal, independent set, packing, Data Structures and Algorithms (cs.DS), odd-minors
dynamic programming, FOS: Computer and information sciences, F.2.2; G.2.2, bipartite graphs, Data Structures and Algorithms, tree decomposition, 05C85, 68R10, 05C75, 05C83, 05C75, 05C69, maximum cut, vertex cover, 004, odd cycle transversal, independent set, packing, Data Structures and Algorithms (cs.DS), odd-minors
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