On Monday, 12 June 2017 at 14:46:30 UTC, jmh530 wrote:
On Sunday, 11 June 2017 at 15:57:14 UTC, Ilya wrote:
[...]
Thanks. This will definitely be a very useful library. Your
write-up might explain the meaning of the name.
Laeeth proposed the name
https://en.wikipedia.org/wiki/L%C3%BCbeck
On Sunday, 11 June 2017 at 15:57:14 UTC, Ilya wrote:
It uses mir-blas and mir-lapack packages. They are low level
and satisfy betterC requirements. Mir is a libraries collection
to write more high level easy to use libraries. Mir should
provide basic data types, patterns, and low level API.
On Sunday, 11 June 2017 at 12:04:36 UTC, data pulverizer wrote:
On Sunday, 11 June 2017 at 01:59:37 UTC, 9il wrote:
Why not to use ndslice and Lubeck [1] libraries instead?
[1] https://github.com/kaleidicassociates/lubeck
Ilya
It is already has hight level ndslice interface for inv
On Sunday, 11 June 2017 at 13:36:09 UTC, jmh530 wrote:
On Sunday, 11 June 2017 at 12:36:19 UTC, 9il wrote:
I ported few large complex Matlab scripts using Lubeck and
Mir-Algorithm (closed source).
It works perfectly and results are the same as Matlab original!
All functions from Lubeck was
On Sunday, 11 June 2017 at 12:36:19 UTC, 9il wrote:
I ported few large complex Matlab scripts using Lubeck and
Mir-Algorithm (closed source).
It works perfectly and results are the same as Matlab original!
All functions from Lubeck was used in this work.
Mir Algorithm has over then 2K
On Sunday, 11 June 2017 at 11:10:38 UTC, data pulverizer wrote:
On Sunday, 11 June 2017 at 01:57:52 UTC, 9il wrote:
[...]
You are right - I realised this as I was writing the script but
I address this point later ...
[...]
Thank you for mentioning the Lubeck package, I did not know
On Sunday, 11 June 2017 at 11:30:03 UTC, Nicholas Wilson wrote:
An additional takeaway for me was that I also found the use of
array operations like
a[] = b[]*c[]
or
d[] -= e[] -f
created odd effects in my calculations the outputs were wrong
and for ages I didn't know why but later ended
On Sunday, 11 June 2017 at 01:59:37 UTC, 9il wrote:
Why not to use ndslice and Lubeck [1] libraries instead?
[1] https://github.com/kaleidicassociates/lubeck
Ilya
It is already has hight level ndslice interface for inv
(inverse) and mtimes (matmul).
p.p.s Okay, I can see how writing an
On Sunday, 11 June 2017 at 10:21:03 UTC, data pulverizer wrote:
Speaking of not losing your audience: give a link to the NRA
and/or a brief explanation of how it generalises to higher
dimensions (graph or animation for the 2D case would be good,
perhaps take something from wikipedia)
NRA?
On Sunday, 11 June 2017 at 01:59:37 UTC, 9il wrote:
Why not to use ndslice and Lubeck [1] libraries instead?
[1] https://github.com/kaleidicassociates/lubeck
Ilya
It is already has hight level ndslice interface for inv
(inverse) and mtimes (matmul).
p.s. I think the work you guys are
On Sunday, 11 June 2017 at 01:57:52 UTC, 9il wrote:
The code has huge number of allocations. For example, T[][]
matrixes are and then concatenated to be used in BLAS.
You are right - I realised this as I was writing the script but I
address this point later ...
Why not to use ndslice and
It is obvious that you took time and care to review the article.
Thank you very much!
On Sunday, 11 June 2017 at 00:40:23 UTC, Nicholas Wilson wrote:
Maybe its the default rendering but the open math font is hard
to read as the sub scripts get vertically compressed.
My suggestions:
Why not to use ndslice and Lubeck [1] libraries instead?
[1] https://github.com/kaleidicassociates/lubeck
Ilya
It is already has hight level ndslice interface for inv (inverse)
and mtimes (matmul).
On Saturday, 10 June 2017 at 20:03:16 UTC, data pulverizer wrote:
Hi all,
I have written a draft article on Generalized Linear Models and
Stochastic Gradient Descent in D
(https://github.com/dataPulverizer/glm-stochastic-gradient-descent-d/blob/master/article.ipynb) and would greatly
On Saturday, 10 June 2017 at 20:03:16 UTC, data pulverizer wrote:
Hi all,
I have written a draft article on Generalized Linear Models and
Stochastic Gradient Descent in D
(https://github.com/dataPulverizer/glm-stochastic-gradient-descent-d/blob/master/article.ipynb) and would greatly
Hi all,
I have written a draft article on Generalized Linear Models and
Stochastic Gradient Descent in D
(https://github.com/dataPulverizer/glm-stochastic-gradient-descent-d/blob/master/article.ipynb) and would greatly appreciate your suggestions.
Apologies for the spartan nature
16 matches
Mail list logo
