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>Faster fixed-parameter tractable algorithms for matching and packing problems
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Faster fixed-parameter tractable algorithms for matching and packing problems
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机译:解决匹配和打包问题的更快固定参数易处理算法
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摘要
We obtain faster algorithms for problems such as r-dimensional matching and r-set packing when the size k of the solution is considered a parameter. We first establish a general framework for finding and exploiting small problem kernels (of size polynomial in k). This technique lets us combine Alon, Yuster and Zwick’s color-coding technique with dynamic programming to obtain faster fixed-parameter algorithms for these problems. Our algorithms run in time O(n+2 O(k)), an improvement over previous algorithms for some of these problems running in time O(n+k O(k)). The flexibility of our approach allows tuning of algorithms to obtain smaller constants in the exponent.
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机译:当解决方案的大小k被视为参数时,我们会获得针对r维匹配和r集打包等问题的更快算法。我们首先建立一个通用框架,用于查找和利用小问题内核(大小多项式以k为单位)。这种技术使我们可以将Alon,Yuster和Zwick的颜色编码技术与动态编程结合起来,以获得针对这些问题的更快的固定参数算法。我们的算法在时间O(n + 2 O(k))上运行,相对于以前的算法,这些算法在时间O(n + k O(k))上运行时有所改进。我们方法的灵活性允许调整算法以获得指数中的较小常数。
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