如何计算最小二分顶点覆盖?

时间:2009-02-06 18:24:21

标签: c# graph-theory

如何计算C#中的最小二分顶点覆盖?是否有代码片段可以这样做?

编辑:虽然一般图的问题是NP完全,但对于二分图,在多项式时间中是可解的。我知道它在某种程度上与二分图中的最大匹配有关(根据Konig定理)但我无法正确理解该定理能够将最大二分匹配的结果转换为顶点覆盖。

3 个答案:

答案 0 :(得分:4)

我能搞清楚:

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

class VertexCover
{
    static void Main(string[] args)
    {
        var v = new VertexCover();
        v.ParseInput();
        v.FindVertexCover();
        v.PrintResults();
    }

    private void PrintResults()
    {
        Console.WriteLine(String.Join(" ", VertexCoverResult.Select(x => x.ToString()).ToArray()));
    }

    private void FindVertexCover()
    {
        FindBipartiteMatching();

        var TreeSet = new HashSet<int>();
        foreach (var v in LeftVertices)
            if (Matching[v] < 0)
                DepthFirstSearch(TreeSet, v, false);

        VertexCoverResult = new HashSet<int>(LeftVertices.Except(TreeSet).Union(RightVertices.Intersect(TreeSet)));
    }

    private void DepthFirstSearch(HashSet<int> TreeSet, int v, bool left)
    {
        if (TreeSet.Contains(v))
            return;
        TreeSet.Add(v);
        if (left) {
            foreach (var u in Edges[v])
                if (u != Matching[v])
                    DepthFirstSearch(TreeSet, u, true);
        } else if (Matching[v] >= 0)
            DepthFirstSearch(TreeSet, Matching[v], false);

    }

    private void FindBipartiteMatching()
    {
        Bicolorate();
        Matching = Enumerable.Repeat(-1, VertexCount).ToArray();
        var cnt = 0;
        foreach (var i in LeftVertices) {
            var seen = new bool[VertexCount];
            if (BipartiteMatchingInternal(seen, i)) cnt++;
        }
    }

    private bool BipartiteMatchingInternal(bool[] seen, int u)
    {
        foreach (var v in Edges[u]) {
            if (seen[v]) continue;
            seen[v] = true;
            if (Matching[v] < 0 || BipartiteMatchingInternal(seen, Matching[v])) {
                Matching[u] = v;
                Matching[v] = u;
                return true;
            }
        }
        return false;
    }

    private void Bicolorate()
    {
        LeftVertices = new HashSet<int>();
        RightVertices = new HashSet<int>();

        var colors = new int[VertexCount];
        for (int i = 0; i < VertexCount; ++i)
            if (colors[i] == 0 && !BicolorateInternal(colors, i, 1))
                throw new InvalidOperationException("Graph is NOT bipartite.");
    }

    private bool BicolorateInternal(int[] colors, int i, int color)
    {
        if (colors[i] == 0) {
            if (color == 1) LeftVertices.Add(i);
            else RightVertices.Add(i);
            colors[i] = color;
        } else if (colors[i] != color)
            return false;
        else
            return true;
        foreach (var j in Edges[i])
            if (!BicolorateInternal(colors, j, 3 - color))
                return false;
        return true;
    }

    private int VertexCount;
    private HashSet<int>[] Edges;
    private HashSet<int> LeftVertices;
    private HashSet<int> RightVertices;
    private HashSet<int> VertexCoverResult;
    private int[] Matching;

    private void ReadIntegerPair(out int x, out int y)
    {
        var input = Console.ReadLine();
        var splitted = input.Split(new char[] { ' ' }, 2);
        x = int.Parse(splitted[0]);
        y = int.Parse(splitted[1]);
    }

    private void ParseInput()
    {
        int EdgeCount;
        ReadIntegerPair(out VertexCount, out EdgeCount);
        Edges = new HashSet<int>[VertexCount];
        for (int i = 0; i < Edges.Length; ++i)
            Edges[i] = new HashSet<int>();

        for (int i = 0; i < EdgeCount; i++) {
            int x, y;
            ReadIntegerPair(out x, out y);
            Edges[x].Add(y);
            Edges[y].Add(x);
        }
    }
}

如您所见,此代码在多项式时间内解决了问题。

答案 1 :(得分:1)

最好继续随机选择一个节点。对于每个节点,它要么进入顶点覆盖,要么进入其所有邻居(因为您需要包含该边缘)。整个事物的最终结果将是一组顶点覆盖,您选择最小的一个。不过,我不会坐在这里编码,因为如果我没记错的话,它的NP就完整了。

答案 2 :(得分:0)


 private void DepthFirstSearch(HashSet TreeSet, int v, bool left)
    {
        if (TreeSet.Contains(v))
            return;
        TreeSet.Add(v);
        if (left) {
            foreach (var u in Edges[v])
                if (u != Matching[v])
                    DepthFirstSearch(TreeSet, u, true);
        } else if (Matching[v] >= 0)
            DepthFirstSearch(TreeSet, Matching[v], false);

    }

if(左)执行时,我认为它的值总是 false