You are a hiker preparing for an upcoming hike. You are given heights
, a 2D array of size rows x columns
, where heights[row][col]
represents the height of cell (row, col)
. You are situated in the top-left cell, (0, 0)
, and you hope to travel to the bottom-right cell, (rows-1, columns-1)
(i.e., 0-indexed). You can move up, down, left, or right, and you wish to find a route that requires the minimum effort.
A route's effort is the maximum absolute difference in heights between two consecutive cells of the route.
Return the minimum effort required to travel from the top-left cell to the bottom-right cell.
Example 1:
Input: heights = [[1,2,2],[3,8,2],[5,3,5]] Output: 2 Explanation: The route of [1,3,5,3,5] has a maximum absolute difference of 2 in consecutive cells. This is better than the route of [1,2,2,2,5], where the maximum absolute difference is 3.
Example 2:
Input: heights = [[1,2,3],[3,8,4],[5,3,5]] Output: 1 Explanation: The route of [1,2,3,4,5] has a maximum absolute difference of 1 in consecutive cells, which is better than route [1,3,5,3,5].
Example 3:
Input: heights = [[1,2,1,1,1],[1,2,1,2,1],[1,2,1,2,1],[1,2,1,2,1],[1,1,1,2,1]] Output: 0 Explanation: This route does not require any effort.
Constraints:
rows == heights.length
columns == heights[i].length
1 <= rows, columns <= 100
1 <= heights[i][j] <= 106
Related Topics:
Binary Search, Depth-first Search, Union Find, Graph
Similar Questions:
// OJ: https://leetcode.com/problems/path-with-minimum-effort/
// Author: github.com/lzl124631x
// Time: O(MNlog(MN))
// Space: O(MN)
class Solution {
public:
int minimumEffortPath(vector<vector<int>>& A) {
int M = A.size(), N = A[0].size(), dirs[4][2] = {{0,1},{0,-1},{1,0},{-1,0}};
vector<vector<int>> dist(M, vector<int>(N, INT_MAX));
priority_queue<array<int, 3>, vector<array<int, 3>>, greater<>> pq;
dist[0][0] = 0;
pq.push({ 0, 0, 0 });
while (pq.size()) {
auto p = pq.top();
pq.pop();
int w = p[0], x = p[1], y = p[2];
if (x == M - 1 && y == N - 1) return dist[x][y];
if (w > dist[x][y]) continue;
for (auto &[dx, dy] : dirs) {
int a = x + dx, b = y + dy;
if (a < 0 || b < 0 || a >= M || b >= N) continue;
int d = abs(A[x][y] - A[a][b]);
if (dist[a][b] > max(dist[x][y], d)) {
dist[a][b] = max(dist[x][y], d);
pq.push({ dist[a][b], a, b });
}
}
}
return -1;
}
};