Here's one that seems faster than the one you posted:

mbsimp=: 3 : 0
  ctr=. _1 [ 'mat maxctrs'=. y.       NB. maxctrs: outer, inner loop
  clrs=. 0$~$mat
  while. (0{maxctrs)>ctr=. >:ctr do.
     mat=. ((+*:)^:(>1{maxctrs) 0:) mat
     clrs=. (clrs+2*clrs>1)+clr0=. +/1 2</ |mat
     mat=. mat*clr0<1
  end.
  mat;<clrs
)

To compare on my machine:
  6!:2 '$run '''''             NB. Original
Rendering...
2.985718

Versus:
  6!:2 '''mat clrs''=: mbsimp ((_0.75+1.3*i:1j78)j./1.2*i:1j78);32 32'
0.54757015       NB. 32x32 gives comparable number of iterations.
  viewmat clrs
  viewmat mat

This is based on someone's (Gene McDonnell's?) old sig.
The first argument to mbsimp " (_0.75+1.3*i:1j78)j./1.2*i:1j78 " gives a
complex matrix centered near the center of the set and encompassing
most or all of it.

On 2/6/07, June Kim <[EMAIL PROTECTED]> wrote:

2007/2/7, Miller, Raul D <[EMAIL PROTECTED]>:
> June Kim wrote:
> > What else can I do to speed it up significantly?
>
> I'd probably start with Chris Reiter's implementation
> of Mandelbrot.  A quick test shows his non-optimized
> implementation is several times faster than the one
> you posted here.
>

Did you mean this one?

escapetc=: 2 : 0
#@((,[EMAIL PROTECTED]:)^:(<&({:n)@# *. (<&({.n)@|@{:))^:_) f."0
)
zl_clur=: 4 : 0
w=.-~/9 o.y
h=.-~/11 o.y
xs=.({.y)+w*(i.%<:)1+x
ys=.h*(i:%j.)<.0.5+x*h%w
ys +/ xs
)

mandelt=: (3 : 'y&[EMAIL PROTECTED]: escapetc (10 255) 0')"0
zl_cccr=: 4 : 0
w=.--/y
({.y)+w*((i:%j.) +/ (i:%])) <.-:x
)

How could I get the same(or similar) result using these?

> See also:
> http://www.jsoftware.com/jwiki/Addons
> http://www.jsoftware.com/jwiki/Addons/graphics/fvj3
>
> That said, I don't have time to optimize his work
> for this case.  (By optimize I mean: make it not
> do unneeded work.)
>
> --
> Raul
>
> ----------------------------------------------------------------------
> For information about J forums see http://www.jsoftware.com/forums.htm
>
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--
Devon McCormick
^me^ at acm.
org is my
preferred e-mail
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