What are some examples of time and space complexity in algorithms?
Time complexity measures how the runtime of an algorithm increases with input size, while space complexity measures memory usage.
Can you give me a specific example of an algorithm with high time complexity?
Sure! The bubble sort algorithm has a time complexity of O(n^2), which means its runtime grows quadratically with the input size.
What about space complexity? Any examples?
Yes! The merge sort algorithm has a space complexity of O(n) because it requires additional space for merging.
How do these complexities affect real-world applications?
In real-world applications, algorithms with lower time and space complexities are preferred as they perform better with large datasets.
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