How do space and time complexity differ in algorithms?
An example of an AI chatbot conversation about comparing space and time complexity in algorithms.
How do space and time complexity differ in algorithms?
Space complexity measures the amount of memory an algorithm uses, while time complexity measures how long it takes to run.
Can you give me an example of an algorithm with high time complexity but low space complexity?
Sure! A simple example is the recursive Fibonacci algorithm, which has exponential time complexity but uses minimal space.
What about the opposite? Any algorithms with low time complexity but high space complexity?
Yes! The Merge Sort algorithm has a time complexity of O(n log n) but requires additional space for merging.
How do I choose between optimizing for time or space?
It depends on the specific use case. If memory is limited, prioritize space; if speed is critical, focus on time.
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