15. Flip Bits
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The problem can be found at the following link:
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.
Consider the input array: a = {1, 0, 0, 1, 0, 0, 1}
.
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 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)
.
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