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## *Repository Creation Request*
Use this to get your experiment repository created or updated on GitHub under Virtual Labs organization.
1. #### Coordinating Institute: IIT Bombay
2. #### Appr…
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SciJS doesn't yet have a good linear solver. At the moment, we have the following simple package (thanks @substack) which works ok for smaller systems using an LU decomposition:
- https://www.npmjs.c…
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The new ivp solvers in `integrate` look wonderful. However, it seems that the bottleneck of implicit methods would be the LU decomposition, that currently uses SPLU provided via scipy. In our experien…
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Hello, I am a beginner to the SuperLU_dist, and I want to get the LU decomposition of a complex matrix.
But in the superlu_dist, it seems that the L and U matrix are distributed in different cores w…
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### Is your feature request related to a problem? Please describe.
As far as I can tell, there is no good way to estimate the condition number of sparse matrices in scipy.
### Describe the solution …
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There are a number of bijective matrix factorizations that it might make sense to include here, e.g.
- unique QR (usual QR but constraining the diagonal of R to be positive)
- unique SVD: usual SVD …
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### Is your feature request related to a problem? Please describe.
I tried to LU factorize sparse matrices using scipy.sparse.linalg.splu (uses SuperLU). But it raised an error saying only supported …
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## Reason
During mortar-based mechanical contact simulations, issue comes up sometimes with dual shape function calculation where the dual coefficient calculation may error out while inverting a …
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Either Inverse Distance Weighting / Shepard Interpolation (NRBF).
Later, the more complex RBF Interpolation with LU decomposition.
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Hi,
I'm interested in using this package with a GPU CG method from IterativeMethods. I think only `forward_substitution` and `backward_substitution` methods are required to extend this to CUDA. I've …