What is the difference between time complexity and space complexity?
Time complexity measures how the runtime of an algorithm increases with input size, while space complexity measures the memory usage.
Can you give me an example of each?
Sure! For time complexity, consider a linear search which is O(n). For space complexity, a recursive function may use O(n) space for the call stack.
Why is it important to consider both when analyzing algorithms?
Both are crucial for understanding an algorithm's efficiency. A fast algorithm may use too much memory, and vice versa.
How do I optimize both time and space complexity?
You can optimize by choosing the right data structures, using algorithms with better complexity, and avoiding unnecessary computations.
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