1135. Connecting Cities With Minimum Cost

There are N cities numbered from 1 to N .

You are given connections , where each connections[i] = [city1, city2, cost]  represents the cost to connect city1 and city2 together.  (A connection is bidirectional: connecting city1 and city2 is the same as connecting city2 and city1 .)

Return the minimum cost so that for every pair of cities, there exists a path of connections (possibly of length 1) that connects those two cities together.  The cost is the sum of the connection costs used. If the task is impossible, return -1.

 

Example 1:

Input: 

N = 3, connections = [[1,2,5],[1,3,6],[2,3,1]]
Output: 

6
Explanation: 

Choosing any 2 edges will connect all cities so we choose the minimum 2.

Example 2:

Input: 

N = 4, connections = [[1,2,3],[3,4,4]]
Output: 

-1
Explanation: 

There is no way to connect all cities even if all edges are used.

 

Note:

  1. 1 <= N <= 10000
  2. 1 <= connections.length <= 10000
  3. 1 <= connections[i][0], connections[i][1] <= N
  4. 0 <= connections[i][2] <= 10^5
  5. connections[i][0] != connections[i][1]

1、题目描述

想象一下你是个城市基建规划者,地图上有 N 座城市,它们按以 1N 的次序编号。

给你一些可连接的选项 conections,其中每个选项 conections[i] = [city1, city2, cost] 表示将城市 city1 和城市 city2 连接所要的成本。(连接是双向的,也就是说城市 city1 和城市 city2 相连也同样意味着城市 city2 和城市 city1 相连)。

返回使得每对城市间都存在将它们连接在一起的连通路径(可能长度为 1 的)最小成本。该最小成本应该是所用全部连接代价的综合。如果根据已知条件无法完成该项任务,则请你返回 -1

示例 1:

img

输入:N = 3, conections = [[1,2,5],[1,3,6],[2,3,1]]
输出:6
解释:
选出任意 2 条边都可以连接所有城市,我们从中选取成本最小的 2 条。

示例 2:

img

输入:N = 4, conections = [[1,2,3],[3,4,4]]
输出:-1
解释: 
即使连通所有的边,也无法连接所有城市。

提示:

Difficulty:

Medium

Lock:

Prime

Company:

Amazon Uber