Container With Most Water

 

  1. Clarify the problem:

    • The problem requires us to find the maximum area of water that can be trapped between two vertical lines.
    • We are given an array of non-negative integers representing the heights of the vertical lines.
    • The width of each vertical line is considered to be 1 unit.
    • We need to determine the maximum area that can be formed by selecting any two vertical lines from the given array.
  2. Analyze the problem:

    • Input: An array of non-negative integers representing the heights of vertical lines.
    • Output: The maximum area of water that can be trapped.
    • Constraints:
      • The input array can contain up to 10^5 elements.
      • The height of each vertical line can range from 0 to 10^4.
  3. Design an algorithm:

    • We can solve this problem using a two-pointer approach.
    • We start with two pointers, one at the beginning of the array (left pointer) and one at the end (right pointer).
    • The width between the two pointers represents the maximum width for the container.
    • We calculate the area between the two pointers using the minimum height of the two vertical lines multiplied by the width.
    • We update the maximum area if the calculated area is greater than the current maximum.
    • To maximize the area, we move the pointer with the smaller height towards the center.
    • We repeat this process until the two pointers meet.
    • Finally, we return the maximum area.
  4. Explain your approach:

    • We will use a two-pointer approach to find the maximum area of water.
    • We start with two pointers, left at index 0 and right at the last index of the array.
    • We initialize a variable max_area to store the maximum area found so far.
    • While left is less than right:
      • Calculate the area between the vertical lines at left and right.
      • Update max_area if the calculated area is greater than the current max_area.
      • Move the pointer with the smaller height towards the center.
    • Finally, return the max_area.
  5. Write clean and readable code:

python
def maxArea(height): max_area = 0 left = 0 right = len(height) - 1 while left < right: area = min(height[left], height[right]) * (right - left) max_area = max(max_area, area) if height[left] < height[right]: left += 1 else: right -= 1 return max_area
  1. Test your code:
python
print(maxArea([1, 8, 6, 2, 5, 4, 8, 3, 7])) # Output: 49 print(maxArea([1, 1])) # Output: 1 print(maxArea([4, 3, 2, 1, 4])) # Output: 16 print(maxArea([1, 2, 1])) # Output: 2
  1. Optimize if necessary:

    • The two-pointer approach used has a time complexity of O(N), where N is the length of the input array.
    • The space complexity is O(1) since we only use a constant amount of additional space.
  2. Handle error cases:

    • The code assumes the input will be a non-empty array of non-negative integers, as stated in the problem description.
    • If an empty array is passed as input, the code will return 0, indicating that there is no water trapped.
  3. Discuss complexity analysis:

    • Time complexity: O(N), where N is the length of the input array.
    • Space complexity: O(1) since we only use a constant amount of additional space.
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