competitive-programmingSep 18, 20221 min read

[Leetcode] 42. Trapping Rain Water explained

Updated: Sep 18, 2022

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Available in:enko

#Problem

42. Trapping Rain Water

#Approach

Find water levels of each index.
The answer is

_k=0n1max(0,waterLevel[k]height[k])\sum\_{k=0}^{n-1} max ( 0 , waterLevel[k] - height[k] )

How can we find water levels?

We keep (height,index) in a stack.
For i = [0, … n-1] do:

  1. While stack is not empty and stack.top.height \le height[i], update water levels in range (stack.top.index,i) to stack.top.height and stack.pop().
  2. If stack is not empty and stack.top.height >\gt height[i], update water levels in range (stack.top.index,i) to height[i]. Do not stack.pop().

After above process, sum up water volumes.

#Code

class Solution {
    public int trap(int[] height) {
        int n = height.length;
        Stack<Integer[]> walls = new Stack<>();
        int[] waterLevels = new int[n];
        // find water levels.
        for (int i = 0; i < n; ++i) {
            if (height[i] > 0) {
                while (!walls.isEmpty() && walls.peek()[0] <= height[i]) {
                    Integer[] wall= walls.pop();
                    for (int j=i-1; j > wall[1]; --j) waterLevels[j]= wall[0];
                }
                if (!walls.isEmpty() && walls.peek()[0] > height[i]) {
                    Integer[] wall= walls.peek();
                    for (int j=i-1; j > wall[1]; --j) waterLevels[j]= height[i];
                }
                walls.push(new Integer[]{height[i], i});
            }
        }

        // sum up water volumes.
        int ans= 0;
        for (int i = 0; i < n; ++i) ans += Math.max(0, waterLevels[i] - height[i]);
        return ans;
    }
}

#Complexity

  • Time: O(n)O(n)
  • Space: O(n)O(n)