MLE occurs when your solution uses more memory than allowed. Use space-efficient algorithms and avoid unnecessary data structures.

Memory Limit Exceeded (MLE) errors happen when your solution exceeds the memory allocated by the problem. To fix this, you need to focus on optimizing your memory usage. Instead of using large arrays or storing entire datasets, consider using data structures that are more space-efficient. Dynamic programming solutions often cause MLE if all states are stored, so try optimizing it with 'space-optimized' DP. You can also look into using linked lists instead of arrays for dynamic data sizes or using bit manipulation to represent multiple states with fewer bits. Clearing unused variables or limiting recursion depth can also help prevent memory overload. By focusing on both time and space efficiency, you can avoid MLE errors.