Minimum K Consecutive Bit Flips
Given a binary array nums (containing only 0s and 1s) and an integer k, you can flip k consecutive bits in one operation. A flip changes 0 to 1 and 1 to 0. Find the minimum number of operations required to make all elements in the array equal to 1. If it is impossible, return -1.
The key insight uses a greedy approach combined with a sliding window to track flips. As we traverse from left to right, if the current bit is 0 (after considering previous flips that affect it), we must flip at this position because no future flip can affect this bit.
Use a queue or window to track the positions where flips were made. A bit at position i is flipped if the number of flips in the window [i-k+1, i] is odd. This can be tracked with a counter. Each time we flip, we add the current position to the window and increment the counter.
Time complexity is O(n) and space is O(k) for the window tracking. The greedy approach works because once we pass a position, no future operation can affect it, so we must decide immediately whether to flip at that position.
Edge cases include an already all-ones array (return 0), k=1 where each zero requires one flip, and cases where k is larger than the remaining array length making certain positions impossible to fix.
Example Input & Output
Flip index 0 and index 1
Already all ones
Minimum flips needed is 3
Impossible to make all ones
Flip index 0 then index 2
Algorithm Flow

Solution Approach
Best Answers
class Solution {
public int solution(int[] nums, int k) {
int n = nums.length;
int flips = 0;
int flipCount = 0;
boolean[] isFlipped = new boolean[n];
for (int i = 0; i < n; i++) {
if (i >= k && isFlipped[i - k]) flipCount--;
if ((nums[i] + flipCount) % 2 == 0) {
if (i + k > n) return -1;
flips++;
flipCount++;
isFlipped[i] = true;
}
}
return flips;
}
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