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### Describe the desired feature
I've been looking at what CPU time is getting spent on when running the unit tests, and according to Valgrind's Callgrind tool, roughly 20% of the time is spent simul…
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This is just a question: are there any plans to support JAX-compatible linear solvers for sparse matrices? I am thinking of sparse linear systems of the type $Ax=b$ where $A$ is sparse.
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This is a request tracker to add an API for sparse + sparse = sparse matrix addition API in the sparse BLAS domain in the oneMKL Specification.
* The operation performed is, $C = \alpha\cdot\text{o…
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To this point we have used the standard compressed sparse column matrices to represent `Zt`, the transpose of the model matrix for the random effects terms and to represent `Lambda`, the lower Choles…
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When working with a huge number of observations, conventional computation of distance matrices might become problematic in terms of memory. Sparse matrices seem a simple and efficient alternative to a…
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We need to copy instead of creating a view.
https://github.com/igraph/rigraph/actions/runs/7359662568/job/20034815374?pr=1012#step:9:83
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If you use sparse instead of dense matrices for boolean indexing in segmentation workflows it should get much faster (at least for the cases when majority of image pixels are background and not cell).…
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We should provide full support for sparse NDArrays