[Numpy-discussion] Derivatives

[Rodgers, Kevin]

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 at ryanaero.com

> -----Original Message-----
> From:	Hassan Aurag [SMTP:aurag at crm.umontreal.ca]
> Sent:	Wednesday, March 01, 2000 6:33 AM
> To:	Gmath-devel at lists.sourceforge.net;
> numpy-discussion at 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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