Container With Most Water
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.
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.
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.
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 andright
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 thanright
:- Calculate the area between the vertical lines at
left
andright
. - Update
max_area
if the calculated area is greater than the currentmax_area
. - Move the pointer with the smaller height towards the center.
- Calculate the area between the vertical lines at
- Finally, return the
max_area
.
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
- 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
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.
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.
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.