What is complexity analysis in programming?
Complexity analysis is the study of how the resource requirements of an algorithm grow as the input size increases.
Why is it important to analyze the complexity of algorithms?
It's crucial because it helps us understand the efficiency and scalability of algorithms, guiding us in choosing the right one for a task.
Can you give me an example of time complexity?
Sure! A common example is the time complexity of a binary search, which is O(log n), meaning it grows logarithmically with the input size.
What about space complexity?
Space complexity measures the amount of memory an algorithm uses relative to the input size. For example, a simple array allocation has a space complexity of O(n).
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