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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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As discussed in #12921, the generation of the _14lnz.c file to compute the (dense!) matrices of the linearized system doesn't make sense above about 20000 states, because:
- it takes forever to gener…
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Here are 10 approaches to implement adaptive noise reduction, ordered by complexity/effectiveness:
### 1. Enhanced Spectral Subtraction
- Track noise floor during silence periods
- Use overlappin…
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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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### Description
While using `cupyx.scipy.sparse.linalg.splu`, I noticed that subsequent `solve()` steps using the `SuperLU` result returned from `cupyx.scipy.sparse.linalg.splu` are a lot slower (~12…
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I've been using `sprs-ldl` to solve some symmetric sparse matrix systems and found the performance to be surprisingly poor. `lsolve_csc_dense_rhs` has had significantly better performance.
Here is …
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SciPy has one method for solving triangular systems with dense matrices, [solve_triangular](https://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.solve_triangular.html) and one for sparse …
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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…
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As of 2024-07 or so and Octave 9.2, I've been getting intermittent build failures for Octave. Can't reproduce it reliably, and I never get it to reproduce when I'm running in HOMEBREW_MAKE_JOBS=1 non-…