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Algorithm Explanation

Last Updated: 3rd September, 2026

What the Algorithm Does

The algorithm maintains a dynamic window [left right] such that:

The number of zeros inside the window is always ≤ K

Within this window:

  • All elements can be treated as 1s (after flipping zeros)
  • So, the window length = possible answer

Key Variables

  • left → starting index of window
  • right → ending index (moves forward)
  • zero_count → number of 0s in current window
  • max_length → stores the best answer

Sub Topic - 3: Step-by-Step Algorithm

Step 1: Initialization

left = 0
zero_count = 0
max_length = 0

Step 2: Expand the Window

Move right from 0 → n-1:

  • If nums[right] == 0
    → increase zero_count

Step 3: Check Validity

  • If zero_count ≤ K
    →  window is valid → continue expanding
  • If zero_count > K
    →  window invalid → shrink from left

Step 4: Shrink the Window

While zero_count > K:

  • If nums[left] == 0
    → decrease zero_count
  • Move left++

This restores validity

Step 5: Update Answer

max_length = max(max_length, rightleft1)

Visual Flow

Start → Expand Right → Count Zeros 
      ↓ 
  Zeros ≤ K ? 
    ↓ Yes → Update Answer 
    ↓ No 
  Shrink from Left → Fix Window → Continue

Dry Run

nums = [1,0,1,1,0,0,1]
k = 2

Right

Element

Zero Count

Action

Window Size

010Expand1
101Expand2
211Expand3
311Expand4
40

2

 

Expand5
503

❌ Shrink

 

Adjust
 2Continue 
612Expand5

Final Answer = 5

Why This Works

✔ We never restart
✔ Each element is processed at most twice
✔ Window always remains valid

Module 4: Algorithm ExplanationAlgorithm Explanation

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