On Tue, 27 Jun 2006 14:50:44 -0500 Robert Kern <robert.kern@gmail.com> wrote:

Nils Wagner wrote:

...

Hi all,

Is there something similar available for scipy ?

http://www-math.mit.edu/~persson/mesh/

I started implementing the Persson's 2D algorithm but never got around to thoroughly testing it.

Robert, Is it ready for the sandbox ? Nils

-- Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco

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...

...

Nils Wagner wrote:

...

Is there something similar available for scipy ? http://www-math.mit.edu/~persson/mesh/

...

On Tue, 27 Jun 2006 14:50:44 -0500 Robert Kern

...

I started implementing the Persson's 2D algorithm but never got around to thoroughly testing it.

Nils Wagner wrote:

...

Is it ready for the sandbox ?

On Tue, 27 Jun 2006, Robert Kern apparently wrote:

If it were, it would probably be there already.

So ... it would be great if Nils could try to push it over the hump and into the sandbox, if (as I think you offered) Nils can play with the code for awhile. Cheers, Alan Isaac

On Tue, 27 Jun 2006, Robert Kern apparently wrote:

I did not so offer.

My apologies for misconstruing your intent in announcing the existence of the code. Alan Isaac

Pierre SCHNIZER wrote:

Hello,

I don't know if that only happens on my machine.... For numpy 1.0 b1 I get

<snip> In [241]:numpy.arccosh(0) Out[241]:nan I get the same results, but this is logical... acosh is defined by 0.5(exp(z) + exp(-z)) for z complex, and this cannot be smaller than 1 for z real, and never equal to 0, so arccosh(0) does not really make sense to me,

cheers, David

John Hassler wrote:

It does exist - but it's a multivalued function, so you need a branch cut. See (halfway down the page): http://mathworld.wolfram.com/InverseHyperbolicCosine.html

john

David Cournapeau wrote:

I agree. Perhaps that is the reason for the inf here? <snip> In [18]:numpy.arccosh(0+0j) Out[18]:(-inf+0j) </snip> As it looks to me, thats not correct neither... I am using it for transforming between elliptic coordinates and rectangular ones, there this behaviour is not that desireable. Sincerely yours Pierre

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Pierre SCHNIZER wrote:

...

Hello,

I don't know if that only happens on my machine.... For numpy 1.0 b1 I get

<snip> In [241]:numpy.arccosh(0) Out[241]:nan

I get the same results, but this is logical... acosh is defined by 0.5(exp(z) + exp(-z)) for z complex, and this cannot be smaller than 1 for z real, and never equal to 0, so arccosh(0) does not really make sense to me,

cheers,

David _______________________________________________ SciPy-user mailing list SciPy-user@scipy.org http://projects.scipy.org/mailman/listinfo/scipy-user

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