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As described in #2 handling time-varying matrix size would be a valuable addition to this package. On looking into it the required algorithms seem straight-forward, so it may get done in the coming mo…
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#### Describe the bug
This isn't really a bug, but rather a request for some assistance. ( I didn't know which category to submit an issue).
So I am dealing with some EEG data in tasks A and B.…
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Want to do:
```julia
T = ChebyshevT()
x = axes(T,1)
K = (x,y) -> exp(x*cos(y)) # some kernel
f = expand(T, exp) # some function
K.(x, x') * f # this is integration wrt a kernel
```
We have som…
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Usually these types of matrices from from PDEs where they can be constructed from the Kronecker product of the actions along each dimension, like:
```julia
using SparseArrays
Iy = SparseMatrixCSC…
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Last class we talked about adding two different graphs, so aren't other operations such as graph subtraction and graph products possible as well? For example, if we were to select particular features…
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Revise mixing parameters and implementation:
- [ ] Confirm that it is implemented correctly - my interpretation of the methods papers Nick and Monisha cited is that the delta matrix should be an iden…
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This is a discussion issue for how to handle unsorted indices in arrays and matrices. The situation as it is today is relaxed, we try to avoid it, having unsorted indices won't cause safety issues, bu…
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Hi,
do you have support for something like this without allocation all n*m memory:
```
n=1000
m=2000
i = Index(n)
j = Index(m)
A=ITensor(i)
B=ITensor(j)
C = A*B
```
I am specifically lo…
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According to the [docs](https://github.com/tensorflow/kfac/blob/master/kfac/python/keras/README.md), this optimizer is supposed to `converge much faster (>3.5x) and with fewer iterations (>14x) than S…
ghost updated
2 months ago
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Right now, there's `AdditiveSemigroup` and `MultiplicativeSemigroup` which are then combined into `Semiring`. This is all well and good, but unfortunately there's a huge amount of code out there writt…