in reply to Reaped: Fibonnaci

Or use the formula.
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RE: RE: Fibonnaci
by Adam (Vicar) on Oct 05, 2000 at 23:52 UTC
    Hey, pretty cool. I thought there was a direct formula but I was unable to find it on my first attempt (and so moved on.) So using Binet's formula we could do:
    $a=sqrt 5;print+(((1+$a)/2)**$_-((1-$a)/2)**$_)/$a,$/for 0..73 # For comparison, here is the result of the golfing # that Tilly and I participated in earlier: $a=1;print$a-=$b+=$a*=-1,$/for 0..73
    Unfortunatly, Computers have a hard time with irrational numbers (like sqrt of 5) so this results in things like 75025.0000000001 which is ok for our purposes... but if you ever use this you might want to pass it through int.

    In case you were wondering, 73 is an arbitrary stopping place. I picked it because Fib(74) is too big a number for Perl, and results in the scientific notation: 1.30496954492866e+015 which just isn't as much fun.

    Update: Of course, what we really need is a benchmark! So here is the output:

    Benchmark: timing 100000 iterations of Binet, Golf... Binet: 1 wallclock secs ( 0.70 usr + 0.00 sys = 0.70 CPU) @ 142653. +35/s (n=100000) Golf: 5 wallclock secs ( 4.75 usr + 0.00 sys = 4.75 CPU) @ 21065.9 +4/s (n=100000)
    And that's just for Fib(30)! I also tried benchmarking the recursive version... hahahaha. So that it wouldn't take all day I dropped the count down to 10 iterations... still Fib(30) though.
    Recursive: 118 wallclock secs (116.37 usr + 0.00 sys = 116.37 CPU) @ + 0.09/s (n=10)
    No Benchmark post is truly complete with out the code used:
    #!perl -w use strict; use Benchmark; # Fibonnaci Number to calculate. use vars ('$n'); # Make it global, but appease strict. $n = 30; my $iter = 100_000; timethese( $iter, { Binet => '&FibBinet($n)', Golf => '&FibGolf($n)', # Recursive => '&FibRecursive($n)', }); sub FibRecursive { my $index = shift; return 0 if 0 == $index; return 1 if 1 == $index; return FibRecursive( $index - 1 ) + FibRecursive( $index - 2 ); } sub FibGolf { my $index = shift; my $acc = 1; my $tmp; while( $index-- ) { $acc-=$tmp+=$acc*=-1; } return $acc; } sub FibBinet { my $index = shift; my $root5 = sqrt 5; return ( ( ( 1 + $root5 ) / 2 ) ** $index - ( ( 1 - $root5 ) / 2 ) ** $index ) / $root5; }
      Note that this is a classic example of a "useless formula". In real life you would never want to use it because square roots are slow to calculate. Instead you use the formula:
      F(n+m) = F(n)F(m-1) + F(n-1)F(m+1)
      This is where F is the Fibonacci function, F(0)=0, F(1)=F(2)=1. In particular you use the special cases:
      F(2n) = F(n)F(n-1) + F(n-1)F(n+1) = F(n)F(n-1) + F(n-1)(F(n) + F(n-1)) = 2F(n)F(n-1) + F(n-1)F(n-1)
      and
      F(2n-1) = F(n-1)F(n-1) + F(n-2)F(n) = F(n-1)F(n-1) + (F(n)-F(n-1))F(n) = F(n)F(n) - F(n-1)F(n) + F(n-1)F(n-1)
      to calculate the powers of two and one off from the powers of two, then when you are done go to the general formula to calculate the number.

      Now why would one do this? Well it turns out that certain numbers can be tested for primality by answering a divisibility question about some close relative of the Fibonacci numbers (eg the Lucas numbers), so most of the "record primes" that you hear about involved some very big Fibonacci numbers being calculated somewhere.

      A good exercise for anyone who is interested, use the very slow Math::BigInt to come up with a function to calculate very large Fibonacci numbers.