# LeetCode #11 - Container With Most Water

What’s up LeetCode enthusiasts 👋! Today we are going to discuss problem number 11 on LeetCode.

## Problem Statement

Given n non-negative integers a1, a2, …, an , where each represents a point at coordinate (i, ai). n vertical lines are drawn such that the two endpoints of the line i is at (i, ai) and (i, 0). Find two lines, which, together with the x-axis forms a container, such that the container contains the most water.

Notice that you may not slant the container.

### Constraints:

• n = height.length
• 2 <= n <= 3 * 104
• 0 <= height[i] <= 3 * 104

### Examples

Example 1:

Input: height = [1,8,6,2,5,4,8,3,7]
Output: 49
Explanation: The above vertical lines are represented by array [1,8,6,2,5,4,8,3,7]. In this case, the max area of water (between 8 and 7 )the container can contain is 49.

Example 2:

Input: height = [1,1]
Output: 1

Example 3:

Input: height = [4,3,2,1,4]
Output: 16

Example 4:

Input: height = [1,2,1]
Output: 2

## Analysis

From the examples, we can conclude that each element ai in the height array represents a pole of height ai.

Let’s see first example to understand it better — If you see the above figure, we are representing each height with a bar where x-axis represents the index of that bar and y-axis represents the actual height of the bar.

Water can be filled between two bars and the horizontal surface between them. Consider these two bars and horizontal surface as the walls of the container. If the heights of both bars are equal then no problem at all, we can fill water up to the height of the bars. But if the walls are of different lengths then we can only fill water up to the height of the shorter bar. This is pretty intuitive 😄.

Thus, the container made by any two bars is a rectangle whose —

• Width = horizontal distance between two bars or the difference between their indices.
• Length = shorter of the two bars.
• Area = (Length * Width)

If we take bars a = 8 and a = 7 as a container then its area will be —

Area = min(a, a) * (8 - 1)
= min(8, 7) * 7
= 7 * 7
= 49

If we take bars a = 6 and a = 8 as a container then we can calculate its area as —

Area = min(a, a) * (6 - 2)
= min(6, 8) * 4
= 6 * 4
= 24

Similarly, we can calculate the area of all the pairs and find out which one is maximum.

## Approach

The naive approach is pretty intuitive. We will calculate areas for all pair of bars and return maximum value. This will take two nested loops and the time complexity will be O(n2).

Can we do better 🤔? Yes, we can 💡. We can start with the container of maximum width and then if there is we find a bar whose height is greater than the shorter of the previous two bars we took into consideration, then we can calculate the area between those two bars and so on.

Since we are starting with the container of maximum width which is represented by the indices of the array, we will have to maintain two pointers who will keep track of width of the container.

Therefore, the steps will be something like this —

1. Initialize two pointers ⇨ left = 0 (first index) and right = height.length - 1 (last index).
2. Loop until the two pointers meet.
3. Inside loop, calculate the height of the shorter bar — one bar is represented by height[left] and the other bar is represented by height[right].
4. Calculate the area between the two bars and compare it with the current maximum.
5. Move the pointers if there exists a bar whose height is greater than the current one.

And that’s it, We will return the maximum area at the end.

### Time Complexity

Since we are scanning each element of an array only one, the time complexity will be O(n).

### Space Complexity

We are not using any data structure for intermediate results, therefore, the space complexity will be O(1).

Let’s look at the code now.

## Code

### Java

public class ContainerWithMostWater {

public int maxArea(int[] height) {
// Maximum area will be stored in this variable
int maximumArea = Integer.MIN_VALUE;
// Left and right pointers
int left = 0;
int right = height.length - 1;
// Loop until left and right meet
while (left < right) {
// Shorter pole/vertical line
int shorterLine = Math.min(height[left], height[right]);
// Update maximum area if required
maximumArea = Math.max(maximumArea, shorterLine * (right - left));
// If there is a longer vertical line present
if (height[left] < height[right]) {
left++;
} else {
right--;
}
}
return maximumArea;
}
}

### Python

def maxArea(height: List[int]) -> int:
# This variable will store the maximum area
max_area = -maxsize
# Left and right pointers
left = 0
right = len(height) - 1
# Loop until the two pointers meet
while left < right:
# Shorter of the two lines
shorter_line = min(height[left], height[right])
max_area = max(max_area, shorter_line * (right - left))
# If there is a longer vertical line present
if height[left] < height[right]:
left += 1
else:
right -= 1
return max_area

### JavaScript

var maxArea = function (height) {
// Maximum area will be stored in this variable
let maximumArea = Number.MIN_SAFE_INTEGER;
// Left and right pointers
let left = 0;
let right = height.length - 1;
// Loop until left and right meet
while (left < right) {
// Shorter pole/vertical line
let shorterLine = Math.min(height[left], height[right]);
// Update maximum area if required
maximumArea = Math.max(maximumArea, shorterLine * (right - left));
// If there is a longer vertical line present
if (height[left] < height[right]) {
left++;
} else {
right--;
}
}
return maximumArea;
};

### Kotlin

fun maxArea(height: IntArray): Int {
// Maximum area will be stored in this variable
var maximumArea = Int.MIN_VALUE
// Left and right pointers
var left = 0
var right = height.size - 1
// Loop until left and right meet
while (left < right) {
// Shorter pole/vertical line
val shorterLine = height[left].coerceAtMost(height[right])
// Update maximum area if required
maximumArea = maximumArea.coerceAtLeast(shorterLine * (right - left))
// If there is a longer vertical line present
if (height[left] < height[right]) {
left++
} else {
right--
}
}
return maximumArea
}

## Conclusion

Congratulations 👏! We have solved another problem from LeetCode.

I hope you enjoyed this post. Feel free to share your thoughts on this.

You can find the complete source code on my GitHub repository. If you like what you learn, feel free to fork 🔪 and star ⭐ it.

Till next time… Happy coding 😄 and Namaste 🙏!