Thank you for your replies.
I might just use arrays.
Maybe in the future something like pypy might help reduce the python overhead.
Best,
Luca
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On Mon, Oct 25, 2010 at 6:48 AM, Citi, Luca wrote:
> Hello,
> I have noticed a significant speed difference between the array and the
> matrix implementation of the dot product, especially for not-so-big matrices.
> For example:
>
> In [1]: import numpy as np
> In [2]: b = np.random.rand(104,1)
>
On Mon, Oct 25, 2010 at 7:48 AM, Citi, Luca wrote:
> Hello,
> I have noticed a significant speed difference between the array and the
> matrix implementation of the dot product, especially for not-so-big
> matrices.
> For example:
>
> In [1]: import numpy as np
> In [2]: b = np.random.rand(104,1)
Hello,
I have noticed a significant speed difference between the array and the matrix
implementation of the dot product, especially for not-so-big matrices.
For example:
In [1]: import numpy as np
In [2]: b = np.random.rand(104,1)
In [3]: bm = np.mat(b)
In [4]: a = np.random.rand(8, 104)
In [5]:
