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Conference Paper

Weak Compositions and Their Applications to Polynomial Lower Bounds for Kernelization

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons44612

Hermelin,  Danny
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Hermelin, D., & Wu, X. (2012). Weak Compositions and Their Applications to Polynomial Lower Bounds for Kernelization. In Y. Rabani (Ed.), Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms (SODA-12) (pp. 104-113). Philadelphia, PA: SIAM.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-BD51-8
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