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```
In some cases (where matrix is symbolical or with complex) "eigenvects" method return no vectors,
>>> m = Matrix(2,2,[1, 0, 0, I])
>>> m.eigenvects()
>>> [(1/2 + I/2 - (-1)**(3/4)*2**(1/2)/2, 1, …
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Is there anything blocking a CRAN release? I notice that there was recently a spam update – not sure if it fixed anything.
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The dot product operation is one of the major building blocks for deep architecture neural networks. The routine implemented in this task should be able to handle batch computation of dot products. Fo…
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```
Since issue 6244 subs has a simultaneous keyword, but this is not understood by Matrix instances.
In [1]: e=x*y
In [2]: e.subs({x: y-1, y:x-1}, simultaneous=True)
Out[2]: (x - 1)*(y - 1)
In [3]…
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It would be great to be able to fit the coefficients of a series expansion by using chebyshev polynomials (optimal in some sense for fitting 1D functions on an interval) and also other common basis fu…
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I've updated Bio.SubsMat.MatrixInfo.py with a new substitution matrix (PHAT) and written a little function to output the matrices in a more useable format. I've been using the new version for months, …
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```
I get the following error when trying to substitute an symbol within an ImmutableMatrix. It works fine with Matrix, so I expected it to create a new instance of ImmutableMatrix with the substituti…
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```
While looking at issue 3818 , I noticed that there were several failures in the examples. You can see them all by running examples/all.py. Here are the tracebacks from running that in the curren…
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We are playing with the backward and forward substitution and comparing it to matlab.
Here are the results.
Can these operations run faster? An alternative is to hook Julia to sparsekit and to use th…
ghost updated
10 years ago
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```
h[1] >>> var('A B', commutative=0)
(A, B)
In master this used to fail because it didn't return after failing with the commutative part:
h[2] >>> (a*A).subs(a*a*A,B)
a*A
This used to …