Can you explain how space complexity relates to time complexity?
Sure! Space complexity measures the amount of memory an algorithm uses, while time complexity measures how long it takes to run.
So, does a higher space complexity always mean a lower time complexity?
Not necessarily. Sometimes, algorithms that use more memory can run faster, but it's not a strict rule.
Can you give an example of that?
Absolutely! Consider a hash table: it uses more space but allows for faster lookups compared to a linked list.
Interesting! Are there cases where optimizing one affects the other?
Yes, optimizing for space can lead to longer execution times, and vice versa. It's all about finding the right balance.
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