I'm glad to see that you and Mike are making a productive dialog out of
what could have gone the other way.  It's a credit to you both.

Simple question wrt documentation.  The Great White Whale of open source
software.  Suppose core.matrix had insanely great documentation.   What
difference would that make regarding your decision to support it or not?
(IOW, if the community were to manage to make good docs, would you change
your mind? )
On Jun 22, 2015 8:34 AM, "Dragan Djuric" <draga...@gmail.com> wrote:

> Just a quick addition, if it is still not clear what I mean regarding the
> documentation. Look at this fairly recent question on stack overflow:
>
> http://stackoverflow.com/questions/19982466/matrix-multiplication-in-core-matrix
>
> On Tuesday, January 13, 2015 at 2:13:13 AM UTC+1, Dragan Djuric wrote:
>>
>> I am pleased to announce a first public release of new *very fast *native
>> matrix and linear algebra library for Clojure based on ATLAS BLAS.
>> Extensive *documentation* is at http://neanderthal.uncomplicate.org
>> See the benchmarks at
>> http://neanderthal.uncomplicate.org/articles/benchmarks.html.
>>
>> Neanderthal is a Clojure library that
>>
>> Main project goals are:
>>
>>    - Be as fast as native ATLAS even for linear operations, with no
>>    copying overhead. It is roughly 2x faster than jBLAS for large matrices,
>>    and tens of times faster for small ones. Also faster than core.matrix for
>>    small and large matrices!
>>    - Fit well into idiomatic Clojure - Clojure programmers should be
>>    able to use and understand Neanderthal like any regular Clojure library.
>>    - Fit well into numerical computing literature - programmers should
>>    be able to reuse existing widespread BLAS and LAPACK programming know-how
>>    and easily translate it to Clojure code.
>>
>> Implemented features
>>
>>    - Data structures: double vector, double general dense matrix (GE);
>>    - BLAS Level 1, 2, and 3 routines;
>>    - Various Clojure vector and matrix functions (transpositions,
>>    submatrices etc.);
>>    - Fast map, reduce and fold implementations for the provided
>>    structures.
>>
>> On the TODO list
>>
>>    - LAPACK routines;
>>    - Banded, symmetric, triangular, and sparse matrices;
>>    - Support for complex numbers;
>>    - Support for single-precision floats.
>>
>>
>> Call for help:
>> Everything you need for Linux is in Clojars. If you know your way around
>> gcc on OS X, or around gcc and MinGW on Windows, and you are willing to
>> help providing the binary builds for those (or other) systems, please
>> contact me. There is an automatic build script, but gcc, atlas and other
>> build tools need to be properly set up on those systems.
>>
>> --
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