LeetCode – Trapping Rain Water (Java)

 

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.

For example, given [0,1,0,2,1,0,1,3,2,1,2,1], return 6.

Analysis

This problem is similar to Candy. It can be solve by scanning from both sides and then get the total.

Java Solution

public int trap(int[] height) {
    int result = 0;
 
    if(height==null || height.length<=2)
        return result;
 
    int left[] = new int[height.length];
    int right[]= new int[height.length];
 
    //scan from left to right
    int max = height[0];
    left[0] = height[0];
    for(int i=1; i<height.length; i++){
        if(height[i]<max){
            left[i]=max;
        }else{
            left[i]=height[i];
            max = height[i];
        }
    }
 
    //scan from right to left
    max = height[height.length-1];
    right[height.length-1]=height[height.length-1];
    for(int i=height.length-2; i>=0; i--){
        if(height[i]<max){
            right[i]=max;
        }else{
            right[i]=height[i];
            max = height[i];
        }
    }
 
    //calculate totoal
    for(int i=0; i<height.length; i++){
        result+= Math.min(left[i],right[i])-height[i];
    }
 
    return result;
}

Related posts:

  1. LeetCode – Candy (Java)
  2. LeetCode – Container With Most Water (Java)
  3. LeetCode – Shortest Palindrome (Java)
  4. LeetCode – Maximum Gap (Java)
Category >> Algorithms >> Interview  
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  • Ujvári Bálint

    My solution in Javascript (the relevant part):

    function calcLeftSideSupport(inputArray){
    let resultArray = [];
    let tempMax = 0;

    for(let i=0; i= tempMax){
    tempMax = inputArray[i];
    }
    resultArray[i] = tempMax;
    }
    return resultArray;
    }
    function calcRightSideSupport(inputArray){
    let resultArray = [];
    let tempMax = 0;

    for(let i=inputArray.length-1; i>=0;i--){
    if (inputArray[i] >= tempMax){
    tempMax = inputArray[i];
    }
    resultArray[i] = tempMax;
    }
    return resultArray;
    };

    function calcRainCapacity(originalArray, leftArray, rightArray){
    let rainCapacity = 0;
    let rainArray = [];
    for(let i=0;i<originalArray.length;i++){
    rainArray[i]= Math.min(leftArray[i],rightArray[i]) - originalArray[i];
    rainCapacity += rainArray[i];
    }
    return [rainCapacity,rainArray];
    }

    function calcMaxHeight(numberArray){
    let tempArray = numberArray.slice();
    let maxHeight = tempArray.sort(function(a, b){return b-a})[0];
    return maxHeight;
    }

  • Tristan Yan

    You can use given heights array to calculate it, firstly see my c++ solution above by using one array instead of two arrays, then you can reuse heights by start from two ends.

  • Tristan Yan


    int Water::trapping(const vector& heights) {
    if (heights.size() < 2) {
    return 0;
    }
    vector heights;

    heights.push_back(heights[0]);

    for (int i = 1; i = 0; i--) {
    int m = i == heights.size() - 1 ? heights[i] : max(heights[i], heights[i + 1]);
    heights[i] = min(heights[i], m);
    }

    int t = 0;

    for (int i = 1; i < heights.size(); i++) {
    t += min(heights[i], heights[i - 1]);
    }

    return t;
    }

  • Yinglei Zhang

    This is a pretty cool solution. Thanks for sharing.

  • Sim Prodigy


    public class Solution {
    public int trap(int[] height) {
    if(height == null || height.length==0) return 0;
    int leftMax = 0, rightMax = 0, left = 0, max = 0;
    int right = height.length-1;
    while(left height[left] ? leftMax : height[left];
    rightMax = rightMax > height[right] ? rightMax : height[right];
    max += leftMax < rightMax ? leftMax - height[left++] : rightMax - height[right--];
    }
    return max;
    }
    }

  • Sim Prodigy


    public class Solution {
    public int trap(int[] height) {
    int l = height.length;
    if(l < 3) return 0;
    int[] leftMax = new int[l];
    int[] rightMax = new int[l];
    int maxL = height[0];
    int maxR = height[l-1];
    for(int i = 0; i maxL ? height[i] : maxL;
    leftMax[i] = maxL;
    maxR = height[l-1-i] > maxR ? height[l-1-i] : maxR;
    rightMax[l-1-i] = maxR;
    }
    int waterTrapped = 0;
    for(int i = 0; i rightMax[i] ? rightMax[i] - height[i] : leftMax[i] - height[i];
    }
    return waterTrapped;
    }
    }

  • Vasyl Grygoryev

    Constant O(1) space and O(n) time.

    public class Solution {
    public int trap(int[] height) {
    if (height == null || height.length < 3)
    return 0;

    int result = 0;
    int left = 0;
    int right = height.length - 1;
    int maxLeft = 0;
    int maxRight = 0;
    int curHeight;

    while (left < right) {
    curHeight = Math.min(maxLeft, maxRight);
    if (maxLeft < maxRight) {
    result += Math.max(curHeight - height[left], 0);
    maxLeft = Math.max(height[left], maxLeft);
    left++;
    }
    else {
    result += Math.max(curHeight - height[right], 0);
    maxRight = Math.max(height[right], maxRight);
    right--;
    }
    }

    curHeight = Math.min(maxLeft, maxRight);
    result += Math.max(curHeight - height[right], 0);

    return result;
    }
    }

  • JY

    sorry….my mistake….I meant constant space….

  • JY

    Is it possible to do it in constant time? it’s a FB interview question. Haven’t figured out how to do it…