This is Much Better

When I was young, I coded in for loops, but when I read the documentation, I put away these childish things and learned to Thread Broadcast 
$x = sequence(8);
$y = sequence(7) + 0.5;       
 
$c = 1/($x->dummy(0,$y->nelem)->transpose - $y->dummy(0,$x->nelem));

[download]
TaDAAA!!

You create 2 vectors (of different sizes), inflate it along the other dimension using dummy to fit the other vector's size (using nelem), flip one of them using transpose and do the calculation in one line. PDL takes care of the loops and does it faster than you can in Perl.

I had to transpose $x to get the same result as the for loops above, in order to prove they are the same by pdl> p $C - $c

Ea

Sometimes I can think of 6 impossible LDAP attributes before breakfast.

Mojoconf was great!

In reply to Re: 47. Construct the Cauchy matrix by Ea
in thread RFC: 100 PDL Exercises (ported from numpy) by mxb

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