Tags: "leetcode", "dynamic-programming", "two-pointers", access_time 2-min read

Edit this post on Github

Trapping Rain Water

Created: January 26, 2019 by [lek-tin]

Last updated: January 26, 2019

Given n non-negative integers representing an elevation map where the width of each bar is 1, compute how much water it is able to trap after raining.

Trapping Rain Water Illustration The above elevation map is represented by array [0,1,0,2,1,0,1,3,2,1,2,1]. In this case, 6 units of rain water (blue section) are being trapped. Thanks Marcos for contributing this image!

Example:

Input: [0,1,0,2,1,0,1,3,2,1,2,1]
Output: 6

Solution 1

Time: O(n)
Space: O(1)

class Solution {
    public int trap(int[] height) {
        int n = height.length;
        int res = 0;
        int left = 0;
        int right = n - 1;
        int leftHeight = 0;
        int rightHeight = 0;

        while(left <= right){
            if(height[left] <= height[right]){
                if(height[left] >= leftHeight) {
                    leftHeight = height[left];
                }
                else {
                    res += leftHeight - height[left];
                }
                left++;
            }
            else{
                if(height[right] >= rightHeight) {
                    rightHeight = height[right];
                }
                else {
                    res += rightHeight - height[right];
                }
                right--;
            }
        }
        return res;
    }
}

Solution 2

Dynamic programming version
Time: O(n)
Space: O(n)
Trapping Rain Water Dynamic Programming

class Solution:
    def trap(self, height: List[int]) -> int:
        N = len(height)

        if not height or N == 0:
            return 0

        amount = 0
        left_max, right_max = [0] * N, [0] * N

        # left -> right
        left_max[0] = height[0]
        for i in range(N-1):
            left_max[i] = max(left_max[i-1], height[i])
        # right <- left
        right_max[-1] = height[-1]
        for i in range(N-2, -1, -1):
            right_max[i] = max(right_max[i+1], height[i])

        # scan water at each coloum from left -> right
        for i in range(1, N-1):
            amount += min(left_max[i], right_max[i]) - height[i]

        return amount