How does space complexity affect algorithm performance?
Space complexity measures the amount of memory an algorithm uses. It can significantly impact performance, especially with large data sets.
Can you give an example of an algorithm with high space complexity?
Sure! A common example is the recursive implementation of the Fibonacci sequence, which uses a lot of stack space.
What are the trade-offs between time and space complexity?
Often, optimizing for time complexity can lead to increased space complexity and vice versa. It's essential to find a balance based on the application.
How can I reduce space complexity in my algorithms?
You can reduce space complexity by using iterative solutions instead of recursive ones, or by optimizing data structures to use less memory.
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