15. Flip Bits

The problem can be found at the following link: Question Link

My Approach

To solve this problem, I've utilized the concept a kind of sliding windows. In this approach, we initiate the tracking of the longest window that maximizes the benefits of performing flips to generate the highest possible count of 1s.

  • Initialize variables zero, one, and max_flips to keep track of the count of zeros, ones, and maximum consecutive flips possible with positive amount of new 1's.

  • Iterate through the input array a.

    • If the current element is 0, increment the zero count.

    • If the current element is 1, decrement the zero count and increment the one count.

    • If zero becomes negative, reset it to 0.

    • Update max_flips with the maximum of zero and max_flips.

  • The result will be the sum of max_flips and one, indicating the maximum consecutive flips possible while allowing some flips of 1s to 0s.

Explanation with Example

Consider the input array: a = {1, 0, 0, 1, 0, 0, 1}.

Initially,  zero = 0  ,  one = 0  ,  max_flips = 0

- index 0:  zero = 0  ,  one = 1  ,  max_flips = 0
- index 1:  zero = 1  ,  one = 1  ,  max_flips = 1
- index 2:  zero = 2  ,  one = 1  ,  max_flips = 2
- index 3:  zero = 1  ,  one = 2  ,  max_flips = 2
- index 4:  zero = 2  ,  one = 2  ,  max_flips = 2
- index 5:  zero = 3  ,  one = 2  ,  max_flips = 3
- index 6:  zero = 2  ,  one = 3  ,  max_flips = 3

The maximum benefit of consecutive flips that increase the count of 1's is 3, resulting in a total of 1's equal to3 + 3 = 6.

Time and Auxiliary Space Complexity

  • Time Complexity: O(n), where n is the length of the input array.

  • Auxiliary Space Complexity: The algorithm uses a constant amount of extra space for variables. Therefore, the auxiliary space complexity is O(1).

Code (C++)

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