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Triangular solves are a core task of many more advanced matrix algorithms. We want to implement.
- A simple serial triangular solve.
- A multithreaded triangular solve using a threadpool.
The m…
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```julia
julia> using Poly, LinearAlgebra
julia> function solve_v2!(A, B, U)
M, N = size(B)
@inbounds @fastmath for m in 1:M
for n in 1:N; A[m,n] = B[m,n]; end;
…
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Are we expected to use `solve_triangular()` for the Jacobi method too? Is it okay to use element-wise inversion since `S` is diagonal? I am asking since the header of `exercise3.py` says that we only …
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Hi everyone,
I'm encountering an issue while trying to compute the inverse of a matrix using Dask arrays with CuPy backend.
My goal with the code is to performe inverse of larger than memory arra…
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### 🚀 The feature, motivation and pitch
Despite not being explicitly documented, [`torch.triangular_solve`](https://pytorch.org/docs/stable/generated/torch.triangular_solve.html) appears to support…
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Here is a simple ODE system (from some perturbation theory toy problem; the real problem is bigger):
```julia
using ModelingToolkit, DifferentialEquations
using ModelingToolkit: t_nounits as t, D_n…
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With these solvers, is it safe to assume that the arguments L and U both contain the main diagonal with the test suites used for grading?
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### 🐛 Describe the bug
I encountered unexpected behavior and a documentation inconsistency when using torch.triangular_solve(). The documentation mentions that the function takes arguments 'A' and 'b…
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```
(defn failing-solve
[]
(let [a [[1.0000499987500624 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0]
[0.5928170472120332 0.8053992479105043 0.0 0.0 0.0 0.0 0.0 0.0 0.0]
[0.592817047…
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### What happened?
Using jax + iree Mac M1 Max fails call to linagl.inv() on a a jax DeviceArray().
#### Steps to reproduce your issue:
```python
>>>import jax.numpy as jnp
>>>
>>> a=jnp.arr…