What are some examples of algorithm complexity?
Algorithm complexity refers to the amount of resources required for an algorithm to run, typically in terms of time and space.
Can you give me specific examples of different complexities?
Sure! For example, a linear search has a time complexity of O(n), while a binary search has a time complexity of O(log n).
What about sorting algorithms?
Great question! Quick sort has an average time complexity of O(n log n), while bubble sort has a time complexity of O(n^2).
How do these complexities affect performance?
Higher complexity generally means slower performance, especially with large datasets. Choosing the right algorithm is crucial.
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