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In algorithms that work with arrays or lists, the two-pointer technique stands out for its efficiency. In this article, we will apply it to the classic "Container With Most Water" problem, which seeks the largest area between two vertical lines on a graph.
Given an array of non-negative integers representing the heights of vertical lines, find the pair of lines that, together with the x-axis, form the container with the largest area.
Consider the array height = [1, 8, 6, 2, 5, 4, 8, 3, 7]
. The objective is to determine which two lines generate the maximum area.
The technique uses two pointers, one at the beginning and one at the end of the array, moving them iteratively towards the center to find the optimal solution.
Startup:
maxArea
is initialized to 0, storing the largest area found so far.l
(left) and r
(right), are positioned at the beginning and end of the array, respectively.Iteration:
l
is less than r
.l
and r
is calculated as min(height[l], height[r]) * (r - l)
.maxArea
is updated if the calculated area is larger.Movement of Pointers:
height[l] < height[r]
, increment l
.r
.Return:
l
and r
intersect, the loop ends, and maxArea
contains the maximum area.Let's analyze the array height = [1, 8, 6, 2, 5, 4, 8, 3, 7]
:
Startup:
maxArea = 0
l = 0
(height 1), r = 8
(height 7)First Iteration:
min(1, 7) * (8 - 0) = 8
maxArea = max(0, 8) = 8
l
(because height[l] < height[r]
)Second Iteration:
l = 1
(height 8), r = 8
(height 7)min(8, 7) * (8 - 1) = 49
maxArea = max(8, 49) = 49
r
...and so on, repeating the process until the hands meet.
The end result will be maxArea = 49
.
Follow the Go code implementing the technique:
package maxarea func maxArea(height []int) int { maxArea := 0 l, r := 0, len(height)-1 for l < r { area := min(height[l], height[r]) * (r - l) maxArea = max(maxArea, area) if height[l] < height[r] { l++ } else { r-- } } return maxArea } func min(a, b int) int { if a < b { return a } return b } func max(a, b int) int { if a > b { return a } return b }
Conclusion
The two pointer technique offers an efficient solution to problems involving arrays. In the case of "Container With Most Water", it guarantees linear time complexity, making it an ideal approach.
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