Implement a bottom-up fibonacci
The bottom-up solution run in O(n) time instead of O(2^n) time, which the
recursive solution runs as:
```
def fib(n):
    return fib(n - 2) + fib(n - 1)
```
Remember that exponential algorithms are usually recursive algorithms with
multiple sibling calls to itself.
			
			
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								scratch/facebook/interview-cake/nth-fibonacci.py
									
										
									
									
									
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								scratch/facebook/interview-cake/nth-fibonacci.py
									
										
									
									
									
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							|  | @ -0,0 +1,6 @@ | ||||||
|  | def fib(n): | ||||||
|  |     cache = (0, 1) | ||||||
|  |     for _ in range(n): | ||||||
|  |         a, b = cache | ||||||
|  |         cache = (b, a + b) | ||||||
|  |     return cache[0] | ||||||
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