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## Fix the Op info test for `triangular_solve .. unfold`
1. Find the lines 328 to 332 of [test_ops.py](test/test_ops.py) and remove
`triangular_solve` .. `unfold` from `skip_list`
2. Run op_info t…
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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 …
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## Feature request
Hi,
I would like to be able to solve symmetric positive-definite linear systems in Numba using Cholesky factorization. While the Cholesky factorization is implemented,…
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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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I need to solve upper-triangular systems with both dense and sparse matrices. To this end, I'm looking at [solve_triangular](https://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.solve_tri…
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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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### 🚀 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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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?