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According to @aatmdelissen we may expect an increase in speed of about 5-10 x
https://pypi.org/project/scikit-sparse/
# CHOLMOD cholesky
if not hasattr(self, 'inv'):
…
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There are a few issues with the package given its separation from CUDA.jl:
1. https://github.com/exanauts/CUDSS.jl/blob/v0.1.3/src/generic.jl#L15 these linear algebra overloads are type piracy. Als…
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gp_dot_prod_cov currently allows only scalar sigma. it would be useful to allow vector sigma in addition of scalar sigma. This would be useful for making faster inference for sparse models with p>n a…
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Hi,
I am looking for a library to solve batches of trajectory optimization problems (same problem, different initial states) on accelerators, and I've found this library, which looks great! I have…
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Context: I encountered an instance with a O(1) second time limit and a very large scaling parameter value. Initializing via osqp_setup takes a very long time (far larger than the time limit), since AF…
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We need
- Cholesky
- SVD
- QR
@lambday @khalednasr I leave this to you
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The current randomized SVD implementation is based on [Halko 2011](https://arxiv.org/abs/0909.4061) (algorithm 4.3).
Many randomized SVD algorithms have been developed or described well since then,…
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Some linear algebra operations like `\` have a hard time with unitful numbers. Take the following case:
```julia
a = [1.0u"N" 2.0u"N"
3.0u"N" 1.0u"N"]
b = [1.0u"N";3.0u"N"]
```
If you …
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Hi, I am trying to do a research on representation of machine learning models and some features of objects, which requires a correlation caculation. The machine learning model outputs a vector represe…
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I am working on a few tutorials in machine learning as well as papers. One recurrent theme in these algorithms is that there are linear transformations applied to Gaussian variables, e.g.,
δu = ra…