How does time complexity affect the performance of algorithms?

How does time complexity affect the performance of algorithms?

Time complexity measures how the runtime of an algorithm increases with the size of the input. It helps predict performance.

Can you give me an example of different time complexities?

Sure! For instance, a linear search has O(n) time complexity, while a binary search has O(log n). The latter is faster for large datasets.

What are some common time complexity classes?

Common classes include O(1) for constant time, O(n) for linear time, O(n^2) for quadratic time, and O(2^n) for exponential time.

How can I improve the time complexity of my algorithm?

You can improve time complexity by optimizing your algorithm, using better data structures, or applying techniques like memoization.