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```Julia
using Plots, SumOfExpVPMR,Serialization
function f_int(x)
if 0
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Hi Luiz,
Thank you very much for adding the Cholesky factorization feature – it’s fantastic!
I have a question regarding the use of the computed Cholesky factor for solving linear systems. Speci…
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Hello, I am not sure if this is just on my machine, but I can't seem to sample from prior RBF GPs or posteriors trained on them. For instance, something as simple as
```julia
x = range(0,5,30)
f …
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Cholesky should always be faster. otherwise we've done something seriously wrong!
@tsgut @ioannisPApapadopoulos @DanielVandH
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Excuse me
this cholesky algorithm can solve the matrix of 512,what should I do to solve larger matrix like 1024 or more.
I changed MAXN and NCU ,but it doesnt work.
![image](https://github.com/Xili…
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We now use Cholesky decomposition ~~for finding the localization radius and~~ for drawing innovations (see #408). When the covariance matrix is not positive definite we use `eigh()`. Depending on how …
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We currently have a bug where when the cholesky is defining itself in sampling mode, and when it is a representation of something.
At the moment in order to deal with / delay the bugs in #593, #594…
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Hi,
This is a preliminary bug report, I'm trying a few things to check that.
But so far, with nix, since gcc was upgraded from 13.2.0 to 13.3.0, test-cpp-contact-cholesky fail with big differenc…
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## 🐛 Bug
The following code:
```python
import numpy as np
A = np.array([[1,-2j],[2j,5]])
print(np.linalg.cholesky(A))
B = np.array([[1,3],[2,4]])
np.linalg.cholesky(B)
```
Produces …
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there seems to be some limit between the n_components and n_features. If I try and create a model with
```
n_components=1
n_features=99
```
it will fail with `_LinAlgError: linalg.cholesky: The…