DSA8 min readJun 08, 2026
Mastering Sliding Windows
Optimize sub-array searches and substring boundaries from O(N^2) to O(N) complexity with moving boundary pointers.
The sliding window pattern is used to reduce nested loops ($O(N^2)$) to a single pass ($O(N)$) when processing contiguous sequences of arrays or strings. The window is defined by two boundaries: a left pointer and a right pointer.
Fixed vs Variable Sliding Window
In a fixed window, the difference between the right and left pointers is constant. In a variable window, the boundaries expand or shrink based on constraints, such as unique character limits.
javascriptEditor
function minSubArrayLen(target, nums) {
let minLength = Infinity;
let left = 0;
let sum = 0;
for (let right = 0; right < nums.length; right++) {
sum += nums[right];
while (sum >= target) {
minLength = Math.min(minLength, right - left + 1);
sum -= nums[left];
left++;
}
}
return minLength === Infinity ? 0 : minLength;
}Want to play with this concept?
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