The Fibonacci sequence: Difference between revisions
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fibs = unfoldr (\( | fibs = unfoldr (\(a,b) -> Just (a,(b,a+b))) (0,1) | ||
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Revision as of 17:44, 27 May 2008
Implementing the Fibonacci sequence is considered the "Hello, world!" of Haskell programming. This page collects Haskell implementations of the sequence.
Naive definition
fib 0 = 0
fib 1 = 1
fib n = fib (n-1) + fib (n-2)
Linear operation implementations
One can compute the first n Fibonacci numbers with O(n) additions.
If fibs
is the infinite list of Fibonacci numbers, one can define
fib n = fibs!!n
Canonical zipWith implementation
fibs = 0 : 1 : zipWith (+) fibs (tail fibs)
With scanl
fibs = fix ((0:) . scanl (+) 1)
With unfoldr
fibs = unfoldr (\(a,b) -> Just (a,(b,a+b))) (0,1)
With iterate
fibs = map fst $ iterate (\(f1,f2) -> (f2,f1+f2)) (0,1)
Logarithmic operation implementations
Using 2x2 matrices
The argument of iterate
above is a linear transformation,
so we can represent it as matrix and compute the nth power of this matrix with O(log n) multiplications and additions.
For example, using the simple matrix implementation in Prelude extensions,
fib n = head (apply (Matrix [[0,1], [1,1]] ^ n) [0,1])
This technique works for any linear recurrence.
A fairly fast version, using some identities
fib 0 = 0
fib 1 = 1
fib n | even n = f1 * (f1 + 2 * f2)
| n `mod` 4 == 1 = (2 * f1 + f2) * (2 * f1 - f2) + 2
| otherwise = (2 * f1 + f2) * (2 * f1 - f2) - 2
where k = n `div` 2
f1 = fib k
f2 = fib (k-1)
Another fast fib
fib = fst . fib2
-- | Return (fib n, fib (n + 1))
fib2 0 = (1, 1)
fib2 1 = (1, 2)
fib2 n
| even n = (a*a + b*b, c*c - a*a)
| otherwise = (c*c - a*a, b*b + c*c)
where (a,b) = fib2 (n `div` 2 - 1)
c = a + b
Fastest Fib in the West
This was contributed by wli (It assumes that the sequence starts with 1.)
import Data.List
fib1 n = snd . foldl fib' (1, 0) . map (toEnum . fromIntegral) $ unfoldl divs n
where
unfoldl f x = case f x of
Nothing -> []
Just (u, v) -> unfoldl f v ++ [u]
divs 0 = Nothing
divs k = Just (uncurry (flip (,)) (k `divMod` 2))
fib' (f, g) p
| p = (f*(f+2*g), f^2 + g^2)
| otherwise = (f^2+g^2, g*(2*f-g))
An even faster version, given later by wli on the IRC channel.
import Data.List
import Data.Bits
fib :: Int -> Integer
fib n = snd . foldl' fib' (1, 0) $ dropWhile not $
[testBit n k | k <- let s = bitSize n in [s-1,s-2..0]]
where
fib' (f, g) p
| p = (f*(f+2*g), ss)
| otherwise = (ss, g*(2*f-g))
where ss = f*f+g*g
Constant-time implementations
The Fibonacci numbers can be computed in constant time using Binet's formula. However, that only works well within the range of floating-point numbers available on your platform. Implementing Binet's formula in such a way that it computes exact results for all integers generally doesn't result in a terribly efficient implementation when compared to the programs above which use a logarithmic number of operations (and work in linear time).
Beyond that, you can use unlimited-precision floating-point numbers, but the result will probably not be any better than the log-time implementations above.
Using Binet's formula
fib n = round $ phi ** fromIntegral n / sq5
where
sq5 = sqrt 5 :: Double
phi = (1 + sq5) / 2
See also
- Parallel, multicore version
- Discussion at haskell cafe
- Some other nice solutions
- In Project Euler, some of the problems involve Fibonacci numbers. There are some solutions in Haskell (Spoiler Warning: Do not look at solutions to Project Euler problems until you have solved the problems on your own.):