| 1 | class SlidingWindow { |
| 2 | // Brute Force Approach - O(n * k) |
| 3 | findMaxAverageBruteForce(nums, k) { |
| 4 | let maxAvg = -Infinity; |
| 5 | |
| 6 | for (let i = 0; i <= nums.length - k; i++) { |
| 7 | let sum = 0; |
| 8 | for (let j = i; j < i + k; j++) { |
| 9 | sum += nums[j]; |
| 10 | } |
| 11 | maxAvg = Math.max(maxAvg, sum / k); |
| 12 | } |
| 13 | return maxAvg; |
| 14 | } |
| 15 | |
| 16 | // Sliding Window Approach - O(n) |
| 17 | findMaxAverageSlidingWindow(nums, k) { |
| 18 | let sum = nums.slice(0, k).reduce((a, b) => a + b, 0); |
| 19 | let maxSum = sum; |
| 20 | |
| 21 | for (let i = k; i < nums.length; i++) { |
| 22 | sum += nums[i] - nums[i - k]; |
| 23 | maxSum = Math.max(maxSum, sum); |
| 24 | } |
| 25 | |
| 26 | return maxSum / k; |
| 27 | } |
| 28 | |
| 29 | // Sliding Window for Longest Substring Without Repeating Characters |
| 30 | lengthOfLongestSubstringSlidingWindow(s) { |
| 31 | let seen = new Set(); |
| 32 | let maxLength = 0, left = 0; |
| 33 | |
| 34 | for (let right = 0; right < s.length; right++) { |
| 35 | while (seen.has(s[right])) { |
| 36 | seen.delete(s[left]); |
| 37 | left++; |
| 38 | } |
| 39 | seen.add(s[right]); |
| 40 | maxLength = Math.max(maxLength, right - left + 1); |
| 41 | } |
| 42 | return maxLength; |
| 43 | } |
| 44 | |
| 45 | // Sliding Window using Frequency Array |
| 46 | lengthOfLongestSubstringSlidingWindowFrequencyArray(s) { |
| 47 | let freq = new Array(128).fill(0); |
| 48 | let maxLength = 0, left = 0; |
| 49 | |
| 50 | for (let right = 0; right < s.length; right++) { |
| 51 | freq[s.charCodeAt(right)]++; |
| 52 | |
| 53 | while (freq[s.charCodeAt(right)] > 1) { |
| 54 | freq[s.charCodeAt(left)]--; |
| 55 | left++; |
| 56 | } |
| 57 | |
| 58 | maxLength = Math.max(maxLength, right - left + 1); |
| 59 | } |
| 60 | return maxLength; |
nothing calls this directly
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