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In a discussion with my friend @skieninger about the speed of sparse linear solvers of Matlab versus Python for solving a large system of equation (around 1e6) , we compared the backslash solver of Ma…
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### Description
Learned Sparse Vectors claim to combine the benefits of sparse (i.e. lexical) and dense (i.e. vector) representations
From https://en.wikipedia.org/wiki/Learned_sparse_retrieval:…
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The Iterative Solver lab references a lab on linear systems that could be useful to solve problem 5. After looking for it in Bootcamp 2018, I could not find it. Is it in a specific folder?
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# Bug report
### Bug description:
```shell
$ dd if=/dev/zero of=sparse_original bs=1 count=1 oseek=1M
1+0 records in
1+0 records out
1 byte copied, 2.7367e-05 s, 36.5 kB/s
$ cp sparse_original spars…
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### 🚀 The feature, motivation and pitch
I am a compute fluid dynamic software developer. Pytorch really helped me for using GPU to accelerate computing. However, in compute fluid dynamic or other m…
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### 🚀 The feature, motivation and pitch
I am using torch as part of some code that solves quantum systems in a differentiable way. An important part of this process is constructing large sparse mat…
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Thanks for great package - I was wondering if it would also be possible to support sparse covariate matrices, i.e. matrices of class `dgCMatrix `(where `x` is first made sparse using
```
library(Ma…
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First of, great work with the library so far!! This is significantly better than what currently exists out there.
Many energy systems models can be extremely sparse. For example, in one recent case…
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https://blog.reachsumit.com/posts/2022/11/sparse-recsys/
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This is the tracking issue for sparse strips (not the design document).
Sparse strips represent the next generation of GPU path rendering, promising better performance and more flexibility in integ…