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I ran into a problem where I wanted to decompose a rotation into a part which rotates around a specified axis and perpendicular to it. This can be done using the swing-twist decomposition of quaternio…
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As far as I can tell, preconditioning using domain decomposition methods is not something that seems to be supported. Is this something that is within the scope of `Ferrite.jl`? Of course there are C …
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#### Issue description
The following code does not work (NB: the `-1` factor in `ops`).
```python
ops = [-1 * qml.Z(0) @ qml.Z(1)]
coeffs = [1.]
reg = qml.registers({"physical": 2, "prep": …
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It would be great to have other general tensor decomposition methods besides SVD and QR, such as CP/tensor rank or Tucker. Thank you!
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[https://www.statsmodels.org/dev/examples/index.html#time-series-analysis](https://www.statsmodels.org/dev/examples/index.html#time-series-analysis)
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Great job! Can you provide more decomposition methods such as TT or TR in the decomposition.py file?
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Do you mean geometric multigrid?
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Implement matrix factorization using different decomposition techniques:
- [x] - QR decomposition
- [x] - LU Matrix Decomposition
- [x] - Singular Value Decomposition
- [ ] - Cholesky Decomposi…
ytann updated
4 years ago
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I have been lucky to meet @odow in a workshop and he introduced Plasmo.jl for my research. I can already see that it will enhance the modeling method and we could differentiate linking constraints fro…
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Methods like calling TJPCov and using the internal gaussian seem to be quite unstable leading to non-positive definite matrices and breaking the cholesky decomposition.
I haven't yet found a way to…