RE: [Numpy-discussion] Derivatives
Whenever I see somebody implementing code based on "Numerical Recipies", I feel obligated to send them the following link: http://math.jpl.nasa.gov/nr/nr.html YMMV, as always . . . Kevin Rodgers Northrop Grumman Ryan Aeronautical Center krodgers@ryanaero.com
-----Original Message----- From: Hassan Aurag [SMTP:aurag@crm.umontreal.ca] Sent: Wednesday, March 01, 2000 6:33 AM To: Gmath-devel@lists.sourceforge.net; numpy-discussion@lists.sourceforge.net Subject: [Numpy-discussion] Derivatives
Hi,
attached is a file called Derivative.py.
It computes derivatives and is based on an algorithm found in Numerical Recipes in C.
What to do you think about it and has anyone started a "serious" calculus oriented subpackage for Numerical Python in general?
I mean: derivatives, partial derivatives, jacobian, hessian implemented fast and precise.
On another note, why isn't infinity defined in NumPy?
Why is tan(pi/2) a number even if big? Shouldn't it be infinity?
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Whenever I see somebody implementing code based on "Numerical Recipies", I feel obligated to send them the following link:
Funny - that's the first thing I thought of too (just looking at it yesterday). Don't neglect to look at "the NR response" link buried at the very bottom of the page.
YMMV, as always . . .
More precisely, I think the point is that yourself or some other person so qualified should review any algorithm provided by a third party to ensure applicability to your problem domain.
Kevin Rodgers
"Zow" Terry Brugger zow@acm.org zow@llnl.gov -----BEGIN PGP SIGNATURE----- Version: PGPfreeware 5.0i for non-commercial use Charset: noconv iQA/AwUBOL1YI6fuGVwXgOQkEQIg7QCgtysc351lOuA3zP41XXaRZdhVoQ4An0S9 UWudL1u0qIvPZumAOVkAtEnA =UXpc -----END PGP SIGNATURE-----
participants (2)
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Rodgers, Kevin -
Zow Terry Brugger