When thinking about time complexity, several key considerations come into play:
1. **Input Size (n)**: Time complexity is often expressed as a function of the input size. Understanding how the performance of an algorithm scales with different sizes of input is critical.
2. **Worst-case vs. Average-case vs. Best-case**:
- **Worst-case**: The maximum time taken for any input of size \( n \).
- **Average-case**: The expected time taken for a