Algorithmic meta theorems are algorithmic results that apply to whole families of combinatorial problems, instead of just specific problems. These families are usually defined in terms of logic and graph theory. An archetypal algorithmic meta theorem is Courcelle's Theorem [1], which states that all graph properties definable in monadic second-order logic can be decided in linear time on graphs of bounded tree width. More recent examples of such meta theorems state that all first-order definable properties of planar graphs can be decided in linear time [2] and that all first-order definable optimisation problems on classes of graphs with excluded minors can be approximated in polynomial time to any given approximation ratio [3]. In my talk, I gave an overview of algorithmic meta theorems and the main techniques used in their proofs. Reference [4] is a comprehensive survey of the material. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Grohe, M. (2008). Algorithmic meta theorems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5344 LNCS, p. 30). https://doi.org/10.1007/978-3-540-92248-3_3
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