hello there, i want to ask about core.matrix dot product performance, is
there a technique to optimize dot-product function ?
Because i found that in Java, C, or even in HipHipArray library, the dot
product performance is extremely faster than core matrix dot product. I
conduct a little benchm
I have 2 matrix, matrix A = [[1 2 3][4 5 6]] and matrix B = [[10 20][20
30][30 40]], 2 x 3 and 3 x 2 matrix.
The problem is, when i use core.matrix.operator to Multiply those matrix, i
got these result :
(M/* A B)
[[10 60 120] [120 100 240]]
which the true result is [[140 200] [320 470]]
a
want "mmul" or "inner-product"
> for traditional style matrix multiplication.
>
> On Sunday, 4 January 2015 19:12:43 UTC+8, Byan Jati wrote:
>>
>> I have 2 matrix, matrix A = [[1 2 3][4 5 6]] and matrix B = [[10 20][20
>> 30][30 40]], 2 x 3 and 3 x 2 m
Solved bro! I think the error comes because my Ubuntu that should equipped
with fortranlib3 library. Clatrix work like a charm! Thanks for the
response
On Sunday, January 4, 2015 6:12:43 AM UTC-5, Byan Jati wrote:
>
> I have 2 matrix, matrix A = [[1 2 3][4 5 6]] and matrix B = [[10
