>
> Yes. In fact, I learned programming primarily for implementing/using 
> numerical methods when I was an engineering major. ;) 

 
I have a similar story, my learning to program was modeling systems and 
such in the Sciences. Have you looked at Julia <http://julialang.org/>? It 
offers an interesting mix of design choices.
 

> Was reading about http://www.numericjs.com/ which looks pretty sweet. 


Nice, I will  try hacking on this soon.

> The forward Euler step is employed for simplicity and speed 
> Please please please use RK4 instead of foward Euler, it's way way 
> more accurate. https://en.wikipedia.org/wiki/RK4 


Ha, of course I should be using RK4! But it's slower and right now I don't 
mind so much that I am losing and gaining energy (and error) during each 
iteration... However, I will implement an RK4 variant and do a JSPerf to 
see what the cost actually is. Maybe it won't be an issue. Good call.

I mean, you have to understand that for many problems in scientific 
> computing, the matrices are large enough that you really want to bust 
> out C and fortran libraries.


Totally agree, it's all C and Javascript for me. 

Personally, my approach has typically been to use node for juggling 
> IO, and then delegating the "hard stuff" to basic services written in 
> "more appropriate" environments. 


Interesting how the Goog is trying very hard to introduce 
NaCl<https://code.google.com/p/nativeclient/>to the browser... this should 
bring "more appropriate" environments right 
into the Browser (Chrome)... I wonder if there is a way for javascript -> 
NaCl binary talk, haven't hacked around with the Goog's new toy yet.

-- Ben

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