Given an integer $k$ and a graph where every edge is colored either red or blue, the goal of the exact matching problem is to find a perfect matching with the property that exactly $k$ of its edges are red. Soon after Papadimitriou and Yannakakis introduced the problem in 1982, a randomized polynomial-time algorithm solving the problem was described by Mulmuley et al. Despite a lot of effort, it is still not known today whether a deterministic polynomial-time algorithm exists. This makes the exact matching problem an important candidate to test the popular conjecture that the complexity classes P and RP are equal. In a recent article, progress was made towards this goal by showing that for (bipartite) graphs of bounded (bipartite) independence number, a polynomial time algorithm exists. In terms of parameterized complexity, this algorithm was an XP-algorithm parameterized by the independence number. In this article, we improve the techniques to obtain an FPT-algorithm for bipartite graphs. If the input is a general graph we show that one can at least compute a perfect matching $M$ which has the correct number of red edges modulo 2. This is motivated by our last result, in which we prove that an FPT algorithm for general graphs reduces to the problem of finding in polynomial time a perfect matching $M$ with the correct number of red edges modulo 2 and additionally at most $k$ red edges.
翻译:以整数美元和每个边缘的红色或蓝色颜色为颜色的图表来计算, 精确匹配问题的目标是找到一个完全匹配的属性, 而该属性的精度恰恰是红色的。 在1982年Papadimitriou和Yannakakis提出这个问题后不久, Mulmuley 等人描述了一个随机化的多元时间算法, 解决了这个问题。 尽管做了很多努力, 目前还不知道是否存在确定性多义时间算法。 这让精确匹配问题成为测试复杂等级P和RP相等的流行猜想的重要候选人。 在最近的一篇文章中, 通过显示( 双面) 和 Yannakakakis 在( 双面) 独立编号的( 双面) 图形中存在一个随机化的混合时间算法来实现这一目标的进展。 在参数化复杂度的复杂度中, 这个算法是按独立编号比较的 XPP- 等值参数。 在文章中, 我们改进了为双面图表获取 FPT- althorthmm 。 如果这一输入最精确的公式, 我们用一个最精确的公式来显示一个最精确的公式, 我们用一个最精确的公式来显示一个最精确的公式, $的精确的公式, 。