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An article on recursion


MSasu

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My workstation (P4, 4.3GHz, 2GB RAM) is still computing the AutoLISP version - was started before posted the above. Will post the result later.

 

(defun fib_rec( n )
(if (< n 2)
 n
(+ (fib_rec (- n 2)) (fib_rec (- n 1)))
)
)

 

Regards,

Mircea

Edited by MSasu
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I really like his method to use the binary representation of 'n' and successively square the matrix, in LISP this might be:

 

(defun fib_mat ( n / l a b c )

 (while (< 0 n)
   (setq l (cons (rem n 2) l) n (/ n 2))
 )
 (setq a 1. b 0. c 1.)
 (foreach x l
   (mapcar 'set '(a b c)
     (list (+ (* a a) (* b b)) (+ (* a b) (* b c)) (+ (* b b) (* c c)))
   )
   (if (< 0 x) (setq a b b c c (+ b a)))
 )
 b
)

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I suppose the simplest iterative way would be:

 

(defun fib ( n / a b c)
 (setq a 0. b 1. c 1.)
 (repeat (- n 2) (setq a b b c c (+ a c)))
 c
)

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Benchmarking the obvious performance improvements of log2(n) iterations over (n-2) iterations:

 

_$ (Benchmark '((fib 100) (fib_mat 100)))
Benchmarking .................Elapsed milliseconds / relative speed for 16384 iteration(s):

   (FIB_MAT 100).....1591 / 1.22 <fastest>
   (FIB 100).........1934 / 1 <slowest>

_$ (Benchmark '((fib 1000) (fib_mat 1000)))
Benchmarking ................Elapsed milliseconds / relative speed for 8192 iteration(s):

   (FIB_MAT 1000).....1014 / 7.28 <fastest>
   (FIB 1000).........7379 / 1 <slowest>

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Interesting solutions, Lee!

I'm sure that you will enjoy this article also.

 

Thanks Mircea, I really enjoyed writing them :)

 

That looks like another interesting article, I shall have a read.

 

Lee

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  • 2 weeks later...
I'm sure that you will enjoy this article also.

 

Got a chance to read that article the other day, a very interesting read indeed! The majority of his comments are absolutely spot on - especially the part regarding the public perception of mathematicians. Thanks for sharing it.

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