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Here I provide some references where they used other fast and efficient EVD libraries, e.g., amg, lobpcg,...
https://github.com/mmp2/megaman/blob/master/megaman/embedding/spectral_embedding.py
…
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Dense SVD is probably the most asked for feature in ndarray, and it would be nice to have some module which _robustly_ and efficiently computes them for arbitrary data. Standard applications include …
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### 🚀 The feature, motivation and pitch
I've been doing some work where I've had to construct covariance matrices from eigendecompositions e.g. I have a matrix that is _almost_ the covariance matri…
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I apologize in advance, because this is not so much a CMSIS-DSP software issue (though it potentially could be), but rather a question about how to achieve certain functions/operations from linear alg…
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On v0.1.25 on OSX, I get the following error when computing gradients from the following jit-compiled function.
```python
import numpy as onp
import jax.numpy as np
from jax import grad, jit
…
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The symmetric/Hermitian eigensolvers support finding only some of the eigenvalues. Consequently, the returned factorization might represent a low rank version of the input matrix. Method defined for `…
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In [R/methods-stats-factanal.r](https://github.com/corybrunson/ordr/blob/main/R/methods-stats-factanal.r), the definition of recover_conference.factanal() implies that half of the inertia is distribut…
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Can you please create `EigenDecomposition`'s for `FieldMatirx
Can you also introduce a constructor for
```
public OrderedComplexEigenDecomposition(final FieldMatrix matrix, ...)
```
parame…
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Hi all,
I've been looking through the functions distributed with TMB, but can't seem to work out how to use the options for computing eigendecomposition. Is there any example code I could look at? …
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### Description
Hi,
I'm trying to do eigendecomposition of non-hermitian matrix on TPU in Colab.
As we know, it's available only on CPU so I enforced eig run on CPU with jit option.
I tried 2 …