/// <summary>
/// 判断 路是否相通
/// </summary>
private static void GraphRoad()
{
GraphUndirected graph = new GraphUndirected(20);
// 已经修好的路 7条 0-1 6-9 3-8 5-11 2-12 6-10 4-8
Dictionary <int, int> hadRoad = new Dictionary <int, int>();
hadRoad.Add(0, 1);
hadRoad.Add(6, 9);
hadRoad.Add(3, 8);
hadRoad.Add(5, 11);
hadRoad.Add(2, 12);
hadRoad.Add(4, 8);
foreach (KeyValuePair <int, int> item in hadRoad)
{
// 调用并查集对象的 union方法让两个城市相交
graph.addEdge(item.Key, item.Value);
}
graph.addEdge(6, 10);
// 调用marked方法判断8顶点、10顶点是否和9顶点相遇
// 设置顶点 point 为 9
int point = 9;
DepthFirstSearch dSearch = new DepthFirstSearch(graph, point);
bool markD1 = dSearch.marked(8);
bool markD2 = dSearch.marked(10);
Console.WriteLine(string.Format("Depth mark1: {0}, mark2: {1}", markD1, markD2));
BreadthFirstSearch bSearch = new BreadthFirstSearch(graph, point);
bool markB1 = bSearch.marked(8);
bool markB2 = bSearch.marked(10);
Console.WriteLine(string.Format("Breadth mark1: {0}, mark2: {1}", markB1, markB2));
}
/// <summary>
/// 深度优先搜索 测试
/// </summary>
private static void DepthFirstSearchTest()
{
// 准备 graph 对象
GraphUndirected graph = new GraphUndirected(13);
graph.addEdge(0, 5);
graph.addEdge(0, 1);
graph.addEdge(0, 2);
graph.addEdge(0, 6);
graph.addEdge(5, 3);
graph.addEdge(5, 4);
graph.addEdge(3, 4);
graph.addEdge(4, 6);
graph.addEdge(7, 8);
graph.addEdge(9, 11);
graph.addEdge(9, 10);
graph.addEdge(9, 12);
graph.addEdge(11, 12);
// 准备深度优先搜索对象
int startPoint = 0;
DepthFirstSearch search = new DepthFirstSearch(graph, startPoint);
// 测试于某个顶点相遇的顶点数量
int count = search.count();
Console.WriteLine("start " + startPoint + " link count: " + count);
// 测试某个顶点是否与 startPoint 相通
bool marked = search.marked(5);
Console.WriteLine("start " + startPoint + " and " + 5 + " marked: " + marked);
bool marked2 = search.marked(7);
Console.WriteLine("start " + startPoint + " and " + 7 + " marked: " + marked2);
}
