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See here for details: https://github.com/sympy/sympy/issues/25401#issuecomment-1722133540
```
In [1]: run linear_analysis.py
Defining reference frames.
Defining time varying symbols.
Orienting …
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Implement matrix factorization using different decomposition techniques:
- [x] - QR decomposition
- [x] - LU Matrix Decomposition
- [x] - Singular Value Decomposition
- [ ] - Cholesky Decomposi…
ytann updated
4 years ago
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From the [Sparse Direct Solver](https://portal.nersc.gov/project/sparse/strumpack/v6.3.1/sparse.html) section, it seems to use the general sparse LU factorization (when no compression is used). Is the…
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by using `umfpack_di_get_numeric(Lp,Lj,Lx,Up,Ui,Ux,P,Q,nullptr,nullptr,nullptr,numeric);`
excuse me, how to get origin matrix?
My code are as follows(uncorrect result):
```C++
int ptr=0;…
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![image](https://user-images.githubusercontent.com/73813367/133882974-600c5d62-452c-4cb8-ab91-d3786790106d.png)
[4. Factorization into A=LU](https://www.youtube.com/watch?v=MsIvs_6vC38&list=PLE7DDD91…
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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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JAX already has excellent parallelism support via `jax.Array`, the compiler could choose sharding so that maximum parallelize for elementwise operations and matrix multiplication. But the linear algeb…
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This is an option that can potentially have much better performance compared to using the dense cublas-based solver. It should be compared to the cuSparse based solver.
The factorization itself doe…
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Hi
I'm very interested by the HICMA software which seems very good.
Do you plan to add soon some other features as plaaned in your presentation ?
I'm especially interested by the LU Factoriza…
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Hello,
I tried to compare the performances of SPQR solve vs UMFPACK to solve a sparse least squares problem. The problem is a Laplacian mesh deformation application where we use 2D finite differen…