What is time complexity and why is it important?
Time complexity measures how the runtime of an algorithm increases with the size of the input. It's crucial for evaluating efficiency.
Can you give me an example of time complexity in a sorting algorithm?
Sure! For example, QuickSort has an average time complexity of O(n log n), making it efficient for large datasets.
How does time complexity affect real-world applications?
In real-world applications, understanding time complexity helps developers choose the right algorithms to ensure performance and scalability.
What are some common time complexities I should know?
Common time complexities include O(1) for constant time, O(n) for linear time, O(n^2) for quadratic time, and O(log n) for logarithmic time.
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