The problem involves rescheduling up to k meetings to maximize the longest continuous free time within a given event window.
The approach includes calculating all gaps between meetings, sliding a window of size k+1 over the gaps, and tracking the maximum sum of k+1 consecutive gaps.
C++ and Python code solutions are shared that implement the logic of calculating gaps and finding the maximum free time.
The time complexity of the solution is O(n), and the space complexity is O(n). This problem can be solved by using a sliding window technique over the gaps array.