-
### 🚀 The feature, motivation and pitch
I am using torch as part of some code that solves quantum systems in a differentiable way. An important part of this process is constructing large sparse mat…
-
Why doesn't cuSPARSE support dense matrix sparse matrix multiplication resulting in a dense matrix? Many application scenarios require this. Please consider adding support.
```[tasklist]
### Tasks
…
-
context: #22
problem: sparse matrices class are slower when the content is dense.
observation: numpy martrices and scipy.parse have almost the same interface
solution: implement the initial…
-
## Description
It would be useful to add custom encoders not only for `obs`, but also for the X matrix. This would allow e.g. to let the user decide whether they want a sparse or a dense without re…
-
### Description
While trying to equip an external sparse linear solver with a JVP rule, I encountered unexpected behavior related to the sparse BCOO matrix. I'm not sure if it's a bug or if I've ov…
-
It could be that a linear problem has (few) non-sparse columns. These could be represented by a dense vector.
Requires:
- Heuristics to decide, when a column should be densely represented
- A way…
-
**Is your feature request related to a problem? Please describe.**
Dear Grakel developers, I'm trying to generate grakel graphs from numpy connectivity matrices. I have two possible scenarios.
1) A …
-
Right now, our sparse operators have entries in {0,+1, -1}, and our dense operators are sampled from the standard normal distribution or the uniform distribution over [-1, 1]. The covariance matrices …
-
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 …
-
Depends on #22970
Depends on #22924
Component: **linear algebra**
Keywords: **linbox**
_Issue created by migration from https://trac.sagemath.org/ticket/22971_