A quadratic kernel for 3-set packing
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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | conferenceObject |
| منشور في: |
2017
|
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/5403 http://dx.doi.org/110.1007/978-3-642-02017-9_11 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-642-02017-9_11 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| الملخص: | 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. |
|---|