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Algorithmic Meta-theorems

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Parameterized and Exact Computation (IWPEC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5018))

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Abstract

Algorithmic meta-theorems are algorithmic results that apply to a whole range of problems, instead of addressing just one specific problem. This kind of theorems are often stated relative to a certain class of graphs, so the general form of a meta theorem reads “every problem in a certain class of problems can be solved efficiently on every graph satisfying a certain property ”. A particularly well known example of a meta-theorem is Courcelle’s theorem that every decision problem definable in monadic second-order logic (MSO) can be decided in linear time on any class of graphs of bounded tree-width [1].

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Martin Grohe Rolf Niedermeier

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© 2008 Springer-Verlag Berlin Heidelberg

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Kreutzer, S. (2008). Algorithmic Meta-theorems. In: Grohe, M., Niedermeier, R. (eds) Parameterized and Exact Computation. IWPEC 2008. Lecture Notes in Computer Science, vol 5018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79723-4_3

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  • DOI: https://doi.org/10.1007/978-3-540-79723-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79722-7

  • Online ISBN: 978-3-540-79723-4

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