TLE happens when your solution takes too long to run. Optimizing your algorithm's time complexity is key to avoiding this error.

A Time Limit Exceeded (TLE) error occurs when your solution doesn't complete within the time limits specified by the problem. To solve this, you need to optimize the time complexity of your algorithm. Start by analyzing whether your solution is brute-forcing the problem or whether there’s a more efficient approach. Common strategies include using divide and conquer, dynamic programming, or greedy algorithms. You should also check if you're processing unnecessary data, which might lead to inefficiencies. Efficient data structures like hash maps, heaps, or segment trees can help you speed up operations. Moreover, ensure that loops and recursive calls are minimized to fit within the allowed time constraints. By refining your approach, you'll avoid TLE errors in most cases.