• LeetCode 296. Best Meeting Point


    原题链接在这里:https://leetcode.com/problems/best-meeting-point/

    题目:

    A group of two or more people wants to meet and minimize the total travel distance. You are given a 2D grid of values 0 or 1, where each 1 marks the home of someone in the group. The distance is calculated using Manhattan Distance, where distance(p1, p2) = |p2.x - p1.x| + |p2.y - p1.y|.

    Example:

    Input: 
    
    1 - 0 - 0 - 0 - 1
    |   |   |   |   |
    0 - 0 - 0 - 0 - 0
    |   |   |   |   |
    0 - 0 - 1 - 0 - 0
    
    Output: 6 
    
    Explanation: Given three people living at (0,0), (0,4), and (2,2):
                 The point (0,2) is an ideal meeting point, as the total travel distance 
                 of 2+2+2=6 is minimal. So return 6.

    题解:

    When trying to minimize the manhattan distance, it is trying to minimize the absolute deviations of x and y.

    And median minimize the absolute deviations.

    We get all x and y when there is a building.

    And calculate absolute deviations.

    Time Complexity: O(m * n). m = grid.length. n = grid[0].length.

    Space: O(m + n).

    AC Java:

     1 class Solution {
     2     public int minTotalDistance(int[][] grid) {
     3         if(grid == null || grid.length == 0 || grid[0].length == 0){
     4             return 0;
     5         }
     6         
     7         int m = grid.length;
     8         int n = grid[0].length;
     9         
    10         List<Integer> iIndexList = new ArrayList<>();
    11         for(int i = 0; i < m ; i++){
    12             for(int j = 0; j < n; j++){
    13                 if(grid[i][j] == 1){
    14                     iIndexList.add(i);
    15                 }
    16             }
    17         }
    18         
    19         List<Integer> jIndexList = new ArrayList<>();
    20         for(int j = 0; j < n; j++){
    21             for(int i = 0; i < m; i++){
    22                 if(grid[i][j] == 1){
    23                     jIndexList.add(j);
    24                 }
    25             }
    26         }
    27         
    28         int iDist = dist(iIndexList);
    29         int jDist = dist(jIndexList);
    30         return iDist + jDist; 
    31     }
    32     
    33     private int dist(List<Integer> list){
    34         int l = 0;
    35         int r = list.size() - 1;
    36         int res = 0;
    37         
    38         while(l < r){
    39             res += list.get(r--) - list.get(l++);
    40         }
    41         
    42         return res;
    43     }
    44 }

    类似Minimum Moves to Equal Array Elements II.

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  • 原文地址:https://www.cnblogs.com/Dylan-Java-NYC/p/12154513.html
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