一、Kruskal算法核心
- Kruskal算法和Prime算法一样也是计算最小生成树的一种算法。考虑问题的出发点: 为使生成树上边的权值之和达到最小,则应使生成树中每一条边的权值尽可能地小。
- 具体做法: 先构造一个只含 n 个顶点的子图 SG,然后从权值最小的边开始,若它的添加不使SG 中产生回路,则在 SG 上加上这条边,如此重复,直至加上 n-1 条边为止。
- 算法演示
二、代码实现(Java版)
import java.util.Comparator; import java.util.HashMap; import java.util.Iterator; import java.util.Map; import java.util.Scanner; import java.util.Set; import java.util.TreeSet; class Edge { int node1; int node2; int edgeValue; } class MySort implements Comparator<Edge> { public int compare(Edge o1, Edge o2) { return o1.edgeValue > o2.edgeValue ? 1 : -1; } } public class Kruskal { static final int maxNodeValue = (1 << 31) - 1; public static void main(String args[]) { Scanner scanner = new Scanner(System.in); Set<Edge> edges = new TreeSet<Edge>(new MySort()); Map<Integer, Integer> preNode = new HashMap<Integer, Integer>(); while (scanner.hasNext()) { int edgeCounts = scanner.nextInt(); for (int i = 0; i < edgeCounts; i++) { int node1 = scanner.nextInt(); int node2 = scanner.nextInt(); int edgeValue = scanner.nextInt(); Edge oldEdge = findOldEdge(node1, node2, edges); if (oldEdge != null) { if (oldEdge.edgeValue > edgeValue) { Edge edge = new Edge(); edge.edgeValue = edgeValue; edge.node1 = node1; edge.node2 = node2; edges.add(edge); } } else { Edge edge = new Edge(); edge.edgeValue = edgeValue; edge.node1 = node1; edge.node2 = node2; edges.add(edge); } } int cost = kruskal(edges, preNode); System.out.println(cost); edges.clear(); preNode.clear(); } } private static Edge findOldEdge(int node1, int node2, Set<Edge> edges) { Iterator<Edge> iterator = edges.iterator(); while (iterator.hasNext()) { Edge edge = iterator.next(); if ((edge.node1 == node1 && edge.node2 == node2) || (edge.node1 == node2 && edge.node2 == node1)) { return edge; } } return null; } public static int findRootNode(Integer node, Map<Integer, Integer> preNode) { while (preNode.get(node) != null) { node = preNode.get(node); } return node; } public static int kruskal(Set<Edge> edges, Map<Integer, Integer> preNode) { Iterator<Edge> it = edges.iterator(); int cost = 0; while (it.hasNext()) { Edge edge = it.next(); int node1 = edge.node1; int node2 = edge.node2; int edgeValue = edge.edgeValue; int node1_parent=findRootNode(node1, preNode) ; int node2_parent=findRootNode(node2, preNode); if (node1_parent!=node2_parent) { preNode.put(node1_parent, node2_parent); cost += edgeValue; } } return cost; } }
三、测试用例
输入
11
1 2 19
1 5 14
1 7 18
2 3 5
2 4 7
2 5 12
3 4 3
4 5 8
4 6 21
5 7 16
6 7 27
输出
67
11
1 2 19
1 5 14
1 7 18
2 3 5
2 4 7
2 5 12
3 4 3
4 5 8
4 6 21
5 7 16
6 7 27
输出
67
拓扑图和算法筛选过程:
四、ACM
题目链接:http://acm.sdut.edu.cn/sdutoj/problem.php?action=showproblem&problemid=2144
AC代码:
import java.util.Comparator; import java.util.HashMap; import java.util.Iterator; import java.util.Map; import java.util.Scanner; import java.util.Set; import java.util.TreeSet; class Edge { int node1; int node2; int edgeValue; } class MySort implements Comparator<Edge> { public int compare(Edge o1, Edge o2) { return o1.edgeValue > o2.edgeValue ? 1 : -1; } } public class Main{ static final int maxNodeValue = (1 << 31) - 1; public static void main(String args[]) { Scanner scanner = new Scanner(System.in); Set<Edge> edges = new TreeSet<Edge>(new MySort()); Map<Integer, Integer> preNode = new HashMap<Integer, Integer>(); while (scanner.hasNext()) { int nodeCounts = scanner.nextInt(); int edgeCounts = scanner.nextInt(); for (int i = 0; i < edgeCounts; i++) { int node1 = scanner.nextInt(); int node2 = scanner.nextInt(); int edgeValue = scanner.nextInt(); Edge oldEdge = findOldEdge(node1, node2, edges); if (oldEdge != null) { if (oldEdge.edgeValue > edgeValue) { Edge edge = new Edge(); edge.edgeValue = edgeValue; edge.node1 = node1; edge.node2 = node2; edges.add(edge); } } else { Edge edge = new Edge(); edge.edgeValue = edgeValue; edge.node1 = node1; edge.node2 = node2; edges.add(edge); } } int cost = kruskal(edges, preNode); System.out.println(cost); edges.clear(); preNode.clear(); } } private static Edge findOldEdge(int node1, int node2, Set<Edge> edges) { Iterator<Edge> iterator = edges.iterator(); while (iterator.hasNext()) { Edge edge = iterator.next(); if ((edge.node1 == node1 && edge.node2 == node2) || (edge.node1 == node2 && edge.node2 == node1)) { return edge; } } return null; } public static int findRootNode(Integer node, Map<Integer, Integer> preNode) { while (preNode.get(node) != null) { node = preNode.get(node); } return node; } public static int kruskal(Set<Edge> edges, Map<Integer, Integer> preNode) { Iterator<Edge> it = edges.iterator(); int cost = 0; while (it.hasNext()) { Edge edge = it.next(); int node1 = edge.node1; int node2 = edge.node2; int edgeValue = edge.edgeValue; int node1_parent=findRootNode(node1, preNode) ; int node2_parent=findRootNode(node2, preNode); if (node1_parent!=node2_parent) { preNode.put(node1_parent, node2_parent); cost += edgeValue; } } return cost; } }
AC代码和上面的代码只有一点不同,那就是输入了节点的个数nodeCount,然而这个数在创建生成树的过程中并没有被使用到。