CocoRoboLabs
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CocoRoboDesktop


			
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------------------------- SPECIAL CEPHES LICENSE ------------------------------

Copyright (c) 2018, Steven Moshier
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
    * Redistributions of source code must retain the above copyright
      notice, this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright
      notice, this list of conditions and the following disclaimer in the
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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DISCLAIMED. IN NO EVENT SHALL Steven Moshier BE LIABLE FOR ANY
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From: Stephen Moshier <steve@moshier.net>
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To: Andreas Madsen <andreas.madsen@nearform.com>
Subject: Re: License for cephes
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Andreas,

Thank you for writing.  You are welcome to distribute the Cephes material
posted to the net under a BSD license.

I don't think I know what cephes.doc is.  The distribution -- either from
netlib.org or moshier.net --  comes with html files that have names like
doubldoc.html for the double precision functions.  There could be some
functions not documented, but that's unintentional.


On Tue, 28 Aug 2018, Andreas Madsen wrote:

> Dear Mr. Moshier
> I'm a researcher in machine learning from Denmark. Now and then, I
> implement machine learning algorithms in JavaScript, which is a huge
> challenge because JavaScript doesn't come with built-in or third-party
> implementations of most special functions. I found your amazing cephes
> library in scipy, and later torch, where I can see that you have
> granted them a BSD license. I was was wondering if you would be so
> kind and do the same for us.
>
> This would be an open source package, distributed under BSD. We have
> an early version here: https://github.com/nearform/node-cephes
>
> I also have a few questions/comments regarding cephes:
>
> 1/ I found that some functions are not included in cephes.doc, is this
> because they shouldn't be used directly or is just an accident? The
> functions are (lbeta, btdtr,smirnov, kolmogorov, smirnovi, kolmogi, nbdtri, stdtri, ei, expx2, ra
> dian, sincos, cot, cotdg, log1p, expm1, cosm1, signbit, isnan, isfini
> te, plancki, planckc, planckd, planckw, p1evl, polylog). Especially
> the Kolmogorov–Smirnov distribution and functional inverse variations
> would be nice to use.
>
> 2/ The subtitle "Polynomials and Power Series" is missing for the
> "Double Precision Routines". I'm parsing the cephes.doc file to build
> the documentation, so this is a bit unfortunate, but not a big
> problem.
>
> Thanks again for writing this amazing library, that is truly needed
> and underappreciated.
>
> Best regards
>
>
> --
> Andreas Madsen
> Data Science Consultant at nearForm | +4522120174 |
> andreas.madsen@nearform.com
> LinkedIn Twitter Github
>
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