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Any interest in adding various statistical regression functions? I had to write some for JavaScript recently, one of which can be found at http://stackoverflow.com/questions/13590922/how-can-i-use-d3... Seems to work for me, but I haven't had it reviewed by a real mathematician yet.
Earlier quoted context omitted.
Out of interest, what sort of MD/post-processing do you need to do? I've been in a similar position recently, but using CoffeeScript wouldn't have occurred to me. By the by, for typical MD processing, as long as you're using sensible units you shouldn't need to worry about floating point precision. Just don't use SI units, because then you might end up with some very very small numbers and that's when it'll start to…
For instance, I've been simulating some graphitic crystallites and part of the analysis includes analyzing the motion of the individual crystallite planes. This is how easy that is: (Note: it appears the horizontal scroll bar for this code is hidden by default for OS X browsers.) eigenvalues = require 'eigenvalues.js' regressCoordinatesToNormal = (coords) -> min = (array) -> array.reduce ((x, y, i) -> if x.val coords…
Earlier quoted context omitted.
For instance, I've been simulating some graphitic crystallites and part of the analysis includes analyzing the motion of the individual crystallite planes. This is how easy that is: (Note: it appears the horizontal scroll bar for this code is hidden by default for OS X browsers.) eigenvalues = require 'eigenvalues.js' regressCoordinatesToNormal = (coords) -> min = (array) -> array.reduce ((x, y, i) -> if x.val coords…
Thanks, that's really interesting! I'll check it out next time. Do you see any advantage with this over, e.g., Python w/NumPy?
I've used http://www.numericjs.com/ to handle basic vector/matrix arithmetic and for numerically solving minimization problems to create constraint-based UIs. Can you give an overview of how your library is different? Is it just a different set of math tools or is the architecture somehow different? Thanks!
Constraint-based UIs are not something I'm familiar with, but sound interesting. Can you expand on that for me please?
What audience do you have in mind calling this advanced? (Not criticising your library, it looks useful).
Just out of curiosity, what features would you want to add to make it more advanced? I'll make tickets for them.
I intend to contribute what I can in those areas.
What audience do you have in mind calling this advanced? (Not criticising your library, it looks useful).
I've used http://www.numericjs.com/ to handle basic vector/matrix arithmetic and for numerically solving minimization problems to create constraint-based UIs. Can you give an overview of how your library is different? Is it just a different set of math tools or is the architecture somehow different? Thanks!
Great. I'm studying for my operations research exam, and I've wanted to "study" by implementing some of the algorithms we did by hand through code. Is there interest in some more advanced matrix algebra functions - specifically Gaussian reduction, simplex, sensitivity analysis, and maybe some transport/network problems and integer programming?
My primary focus from here on out is statistics and matrix algebra focused on powering analytics. So yes, some of those functions would be of interest to me.
Wow - looks awesome! Congrats Steve et all.