Medium
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
import java.util.PriorityQueue
import kotlin.math.abs
class Solution {
private class Pair internal constructor(var row: Int, var col: Int, var diff: Int) : Comparable<Pair> {
override fun compareTo(other: Pair): Int {
return diff - other.diff
}
}
fun minimumEffortPath(heights: Array<IntArray>): Int {
val n = heights.size
val m = heights[0].size
val pq = PriorityQueue<Pair>()
pq.add(Pair(0, 0, 0))
val vis = Array(n) { BooleanArray(m) }
val dx = intArrayOf(-1, 0, 1, 0)
val dy = intArrayOf(0, 1, 0, -1)
var min = Int.MAX_VALUE
while (pq.isNotEmpty()) {
val p = pq.remove()
val row = p.row
val col = p.col
val diff = p.diff
if (vis[row][col]) {
continue
}
vis[row][col] = true
if (row == n - 1 && col == m - 1) {
min = min.coerceAtMost(diff)
}
for (i in 0..3) {
val r = row + dx[i]
val c = col + dy[i]
if (r < 0 || c < 0 || r >= n || c >= m || vis[r][c]) {
continue
}
pq.add(
Pair(
r,
c,
diff.coerceAtLeast(
abs(
heights[r][c] - heights[row][col],
),
),
),
)
}
}
return min
}
}