基于邻接矩阵的深度优先遍历实现

x33g5p2x  于2022-06-27 转载在 其他  
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一 要创建的图

二 代码

package graph;

import java.util.Scanner;

public class DFSAM {
    static final int MaxVnum = 100;  // 顶点数最大值

    // 访问标志数组,其初值为"false"
    static Boolean visited[] = new Boolean[MaxVnum];

    static {
        for (int i = 0; i < visited.length; i++) {
            visited[i] = false;
        }
    }

    static int locatevex(DFSAM.AMGraph G, char x) {
        for (int i = 0; i < G.vexnum; i++) // 查找顶点信息的下标
            if (x == G.Vex[i])
                return i;
        return -1; // 没找到
    }

    static void CreateAMGraph(DFSAM.AMGraph G) {
        Scanner scanner = new Scanner(System.in);
        int i, j;
        char u, v;
        System.out.println("请输入顶点数:");
        G.vexnum = scanner.nextInt();
        System.out.println("请输入边数:");
        G.edgenum = scanner.nextInt();
        System.out.println("请输入顶点信息:");

        // 输入顶点信息,存入顶点信息数组
        for (int k = 0; k < G.vexnum; k++) {
            G.Vex[k] = scanner.next().charAt(0);
        }
        // 初始化邻接矩阵所有值为0,如果是网,则初始化邻接矩阵为无穷大
        for (int m = 0; m < G.vexnum; m++)
            for (int n = 0; n < G.vexnum; n++)
                G.Edge[m][n] = 0;

        System.out.println("请输入每条边依附的两个顶点:");
        while (G.edgenum-- > 0) {
            u = scanner.next().charAt(0);
            v = scanner.next().charAt(0);

            i = locatevex(G, u);// 查找顶点 u 的存储下标
            j = locatevex(G, v);// 查找顶点 v 的存储下标
            if (i != -1 && j != -1)
                G.Edge[i][j] = 1; //邻接矩阵储置1
            else {
                System.out.println("输入顶点信息错!请重新输入!");
                G.edgenum++; // 本次输入不算
            }
        }
    }

    static void print(DFSAM.AMGraph G) { // 输出邻接矩阵
        System.out.println("图的邻接矩阵为:");
        for (int i = 0; i < G.vexnum; i++) {
            for (int j = 0; j < G.vexnum; j++)
                System.out.print(G.Edge[i][j] + "\t");
            System.out.println();
        }
    }

    static void dfsAm(AMGraph G, int v) {//基于邻接矩阵的深度优先遍历
        int w;
        System.out.println(G.Vex[v] + "\t");

        visited[v] = true;
        for (w = 0; w < G.vexnum; w++) // 依次检查v的所有邻接点
            if (G.Edge[v][w] == 1 && !visited[w]) // v、w 邻接而且 w 未被访问
                dfsAm(G, w); // 从 w 顶点开始递归深度优先遍历
    }

    public static void main(String[] args) {
        int v;
        char c;
        AMGraph G = new DFSAM.AMGraph();
        CreateAMGraph(G);
        print(G);
        System.out.println("请输入遍历连通图的起始点:");
        Scanner scanner = new Scanner(System.in);
        c = scanner.next().charAt(0);
        v = locatevex(G, c); // 查找顶点u的存储下标
        if (v != -1) {
            System.out.println("深度优先搜索遍历连通图结果:");
            dfsAm(G, v);
        } else
            System.out.println("输入顶点信息错!请重新输入!");
    }

    static class AMGraph {
        char Vex[] = new char[CreateAMGraph.MaxVnum];
        int Edge[][] = new int[CreateAMGraph.MaxVnum][CreateAMGraph.MaxVnum];
        int vexnum; // 顶点数
        int edgenum; // 边数
    }
}

三 测试

绿色为输入,白色为输出

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