dijkstra算法求两点之间最短路径

http://128kj.iteye.com/blog/1678532
package com.geo.xiaojinku.udf.utils;

import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Map.Entry;

import javax.print.attribute.standard.PrinterInfo;

import org.apache.hadoop.classification.InterfaceAudience.Private;

public class FloydUtil {
	private static int M = 10000; // 此路不通
	private static String pathTip = "-->";
	private static Map<String, Object> pathInfoMap = new LinkedHashMap<String, Object>(); // 路径和距离信息

	public static void main(String[] args) {
		int[][] weight1 = { 
				{ 0, 1, 1, 4, M, 2, 5, M }, 
				{ 1, 0, M, M, M, 2, M, 4 },
				{ 1, M, 0, M, M, M, 3, M },
				{ 4, M, M, 0, 1, M, M, M },
				{ M, M, M, 1, 0, 1, M, M },
				{ 2, 2, M, M, 1, 0, M, M },
				{ 5, M, 3, M, M, M, 0, 1 },
				{ M, 4, M, M, M, M, 1, 0 } 
			};
		String[] point = { "A", "B", "C", "D", "E", "F", "G", "H" };
		for (int start = 0; start < point.length; start++) {
			getPathInfo(weight1, start, point);
		}
		printPathInfo();

	}
	public static void getPathInfo(int[][] weight, int start, String[] point) {
		// 接受一个有向图的权重矩阵,和一个起点编号start(从0编号,顶点存在数组中)
		int n = weight.length; // 顶点个数
		int[] shortPath = new int[n]; // 保存start到其他各点的最短路径
		String[] path = new String[n]; // 保存start到其他各点最短路径的字符串表示
		for (int i = 0; i < n; i++){
			path[i] = new String(point[start] + pathTip + point[i]);
		}
		int[] visited = new int[n]; // 标记当前该顶点的最短路径是否已经求出,1表示已求出
		// 初始化,第一个顶点已经求出
		shortPath[start] = 0;
		visited[start] = 1;
		for (int count = 1; count < n; count++) { // 要加入n-1个顶点
			int k = -1; // 选出一个距离初始顶点start最近的未标记顶点
			int dmin = Integer.MAX_VALUE;
			for (int i = 0; i < n; i++) {
				if (visited[i] == 0 && weight[start][i] < dmin) {
					dmin = weight[start][i];
					k = i;
				}
			}
			// 将新选出的顶点标记为已求出最短路径,且到start的最短路径就是dmin
			shortPath[k] = dmin;
			visited[k] = 1;
			// 以k为中间点,修正从start到未访问各点的距离
			for (int i = 0; i < n; i++) {
				if (visited[i] == 0 && weight[start][k] + weight[k][i] < weight[start][i]) {
					weight[start][i] = weight[start][k] + weight[k][i];
					path[i] = path[k] + pathTip + point[i];
				}
			}
		}
		for (int i = 0; i < n; i++) {
			// System.out.print("从" + point[start] + "出发到" + point[i] +
			// "的最短路径为:" + path[i] + " ");
			// System.out.println("从" + point[start] + "出发到" + point[i] +
			// "的最短距离为:" + shortPath[i]);
			Object[] objects = new Object[2];
			objects[0] = path[i];
			objects[1] = shortPath[i];
			pathInfoMap.put(point[start] + pathTip + point[i], objects);
		}

	}
	/**
	 * 打印路径信息和距离
	 */
	private static void printPathInfo() {
		for (Entry<String, Object> entry : pathInfoMap.entrySet()) {
			String key = entry.getKey();
			Object[] objects = (Object[]) entry.getValue();
			System.out.println(key + ":" + objects[0] + "  路径长度:" + objects[1]);
		}
	}

}

《dijkstra算法求两点之间最短路径》

    原文作者:Dijkstra算法
    原文地址: https://blog.csdn.net/nyistzp/article/details/53082553
    本文转自网络文章,转载此文章仅为分享知识,如有侵权,请联系博主进行删除。
点赞