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## 🚀 Feature Discussion
**The question is whether solve-like functions need to support batch broadcasting for _b_ of shape `(n,)`.**
PyTorch currently includes several functions for problems of …
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Using a direct sparse linear solver (umfpack) is very convenient as it can
solve any nonsingular system very quickly. If the LU-decomposed matrix fits
into memory, that is.
-> Iterative solvers a…
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### Is your feature request related to a problem? Please describe.
Sparse lobpcg and linear iterative solvers are pure Python and ideal candidates for array API support.
### Describe the solutio…
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Would like to be able to do this for the pressure-like field Phi, computed when stress Normalization is active in IBFE.
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There are two performance issues when using state-independent solvers for non-autonomous linear ODEs:
1. A ~2x performance regression going from OrdinaryDiffEq v6.54.0 to v6.55.0 when the linear op…
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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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```
Using a direct sparse linear solver (umfpack) is very convenient as it can
solve any nonsingular system very quickly. If the LU-decomposed matrix fits
into memory, that is.
-> Iterative solvers a…
-
The documentation linked below explains how to select linear programming (LP) solvers for EAGO. Does EAGO also make use of mixed integer linear programming (MILP) solvers? That is, does EAGO solve MIL…
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### Describe your issue.
When calling iterative methods for linear systems from the ``scipy.sparse.linalg`` module (like ``cg`` or ``gmres``) with a right hand side ``b`` of shape ``(N,1)`` the retur…
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