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|.
For example, given three people living at (0,0), (0,4), and (2,2):
1 - 0 - 0 - 0 - 1 | | | | | 0 - 0 - 0 - 0 - 0 | | | | | 0 - 0 - 1 - 0 - 0
The point (0,2) is an ideal meeting point, as the total travel distance of 2+2+2=6 is minimal. So return 6.
Hint:
- Try to solve it in one dimension first. How can this solution apply to the two dimension case?
这道题让我们求最佳的开会地点，该地点需要到每个为1的点的曼哈顿距离之和最小，题目中给了我们提示，让我们先从一维的情况来分析，那么我们先看一维时有两个点A和B的情况,
______A_____P_______B_______
那么我们可以发现，只要开会为位置P在[A, B]区间内，不管在哪，距离之和都是A和B之间的距离，如果P不在[A, B]之间，那么距离之和就会大于A和B之间的距离，那么我们现在再加两个点C和D：
______C_____A_____P_______B______D______
我们通过分析可以得出，P点的最佳位置就是在[A, B]区间内，这样和四个点的距离之和为AB距离加上CD距离，在其他任意一点的距离都会大于这个距离，那么分析出来了上述规律，这题就变得很容易了，我们只要给位置排好序，然后用最后一个坐标减去第一个坐标，即CD距离，倒数第二个坐标减去第二个坐标，即AB距离，以此类推，直到最中间停止，那么一维的情况分析出来了，二维的情况就是两个一维相加即可，参见代码如下：
解法一：
class Solution {
public:
int minTotalDistance(vector<vector<int>>& grid) {
vector<int> rows, cols;
for (int i = 0; i < grid.size(); ++i) {
for (int j = 0; j < grid[i].size(); ++j) {
if (grid[i][j] == 1) {
rows.push_back(i);
cols.push_back(j);
}
}
}
return minTotalDistance(rows) + minTotalDistance(cols);
}
int minTotalDistance(vector<int> v) {
int res = 0;
sort(v.begin(), v.end());
int i = 0, j = v.size() - 1;
while (i < j) res += v[j--] - v[i++];
return res;
}
};
我们也可以不用多写一个函数，直接对rows和cols同时处理，稍稍能简化些代码：
解法二：
class Solution {
public:
int minTotalDistance(vector<vector<int>>& grid) {
vector<int> rows, cols;
for (int i = 0; i < grid.size(); ++i) {
for (int j = 0; j < grid[i].size(); ++j) {
if (grid[i][j] == 1) {
rows.push_back(i);
cols.push_back(j);
}
}
}
sort(rows.begin(), rows.end());
sort(cols.begin(), cols.end());
int res = 0, i = 0, j = rows.size() - 1;
while (i < j) res += rows[j] - rows[i] + cols[j--] - cols[i++];
return res;
}
};
参考资料：
https://leetcode.com/discuss/65336/14ms-java-solution
https://leetcode.com/discuss/85074/14-lines-concise-and-easy-understand-c-solution
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