The sliding window technique is an algorithmic optimization method that reduces time complexity for subarray or substring problems from O(n2) or O(n3) to O(n) by maintaining a subset of data (a "window") that moves over the input. Instead of recalculating the entire window, it slides by adding the next element and removing the first element of the previous window.
