Abstract
We present a reduction procedure that takes an arbitrary instance of the 3-Set Packing problem and produces an equivalent instance whose number of elements is bounded by a quadratic function of the input parameter. Such parameterized reductions are known as kernelization algorithms, and each reduced instance is called a problem kernel. Our result improves on previously known kernelizations and can be generalized to produce improved kernels for the r-Set Packing problem whenever r is a fixed constant. Improved kernelization for r-Dimensional-Matching can also be inferred.
This research has been supported in part by the research council of the Lebanese American University.
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Abu-Khzam, F.N. (2009). A Quadratic Kernel for 3-Set Packing. In: Chen, J., Cooper, S.B. (eds) Theory and Applications of Models of Computation. TAMC 2009. Lecture Notes in Computer Science, vol 5532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02017-9_11
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DOI: https://doi.org/10.1007/978-3-642-02017-9_11
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