Time Complexity Comparison

100
O(n)
Linear time - grows directly with input size. Example: Single loop through array.
O(log n)
Logarithmic time - grows very slowly. Example: Binary search in sorted array.
O(n log n)
Linearithmic time - efficient for many problems. Example: Merge sort, using map in a loop.
O(n²)
Quadratic time - grows quickly with input size. Example: Nested loops, brute force solutions.