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Turing Kernelization for Finding Long Paths and Cycles in Restricted Graph Classes Bart M. P. Jansen June 3rd, WORKER 2015, Nordfjordeid, Norway
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Finding long paths and cycles 2
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YearAuthors 1985Monien 1993Bodlaender 1995Alon et al. 1995Alon et al. 2006Kneis et al. 2007Chen et al. 2007Chen et al. 2008Koutis 2009Williams 2010Björklund et al. 2013Fomin et et al. 3
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Preprocessing for path and cycle problems 4
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Relaxed notions of preprocessing 5
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Turing kernelization 6
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Our results 7 The difficult part of finding long paths and cycles in these graph classes can be confined to small subtasks
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Adaptivity 8
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Decompose-Query-Reduce 13
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Circumference of triconnected graphs 14
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Decomposition into triconnected components 15 Every graph can be decomposed into triconnected components [Tutte 1966]
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Decomposition into triconnected components 16
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Exact statement for graph decomposition 17
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Kernelizing using the decomposition 18
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Finding a 2-separation to reduce (I) 19
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Finding a 2-separation to reduce (II) 20
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Summary of the kernelization 21
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Extensions 22
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Conclusion 23 Is there a non-adaptive Turing kernel?
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Lower bounds for Turing kernels 24
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Colored paths are harder to find 26
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