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Wish-list / todo-list for more matrix exponential methods
* [ ] An implementation of *A. H. Al-Mohy and N. J. Higham, A new scaling and squaring algorithm
for the matrix exponential, SIAM J. Ma…
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Sympy probably doesn't support this https://en.wikipedia.org/wiki/Matrix_exponential#Matrix-matrix_exponentials
It should be easy to implement. Only question is that should this be a different funct…
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```
We should be able to represent matrix exponentials - expressions of the form a**B with a a scalar and B a matrix.
When asked to operate on this we could either use the eigenvalue decomposition o…
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From @efdazedo :
I think computing matrix exponential may require full eigen decomposition of the matrix.
Expm(A) can be computed as
inv(V) * diag( exp( lambda(i) ) * V, where inv(V) *…
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We are using ArrayFire to calculate millions of spin evolution in quantum physics, in which the matrix exponential (expm) is needed for each spin and it is very time-consuming. The built-in matrix exp…
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I tried calculating a matrix exponential but
```julia
julia> exp([1 2; 3 4])
2×2 Matrix{Float64}:
51.969 74.7366
112.105 164.074
julia> exp(Double64.([1 2; 3 4]))
ERROR: MethodError: n…
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I needed a pure Julia implementation of matrix exponentiation, so I updated an old 2012 gist to Julia 1.0, see [here](https://gist.github.com/sdewaele/2c176cb634280cf8a23c5970739cea0e). I am happy to …
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**Is your feature request related to a problem? Please describe.**
discretizeAQ() is more expensive than it should be since we only need half of the result matrix, and a lot of the initial matrix is …
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### Issue type
Feature Request
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.10.0
### Custom code
No
### OS platform and distribution…
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@oscarbenjamin I'm following up on a comment you wrote in our recent discussion on a performance regression (#19532). The performance regression has been partially fixed by the dotprodsim flag in 1.6.…