Recursive Runtimes
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topic: 🖥️ Tech
links:source: Cracking the Coding Interview
tags: #permanent-note #published
Last Modified:
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When dealing with recursive algorithms, pay close attention to your space and time complexity. It can easily become O(N²).
If you have a recursive algorithm that makes multiple calls, e.g. calculating the Fibonacci sequence like here, the runtime can be expressed as a tree with 2^N - 1 nodes.
This results in O(2^N).
However, a straight recursion with only one call, like calculating the factorial, only takes O(n).