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Hi Jouni, im trying to run the code using the example.
However, when i made the triangular mesh with Netgen its keep complaining about: "invalid child edges".
So i search for another mesh examples …
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I implemented several linear operators related to solve control problems. An example is the Lyapunov operator L: X -> AX+XA', where A is a squre matrix. This operator acts usually on symmetric/hermiti…
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I'm trying to solve a problem of the form
Minimize -log(det(A))
s.t.
A = A' >> 0 (i.e. A is symmetric positive semidefinite)
v_i' A v_i > 0
Z is lower triangular
t
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I'm interested in using autograd for applications where one has an objective `J(x)` where the vector `x` is the solution to the sparse linear system `Ax = b`.
How could one implement the gradient o…
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I received the following error when trying to run the example script for H2.
I am using an AMD GPU with rocm version 6.0.3 (The LUMI supercomputer)
This is the output of `pip list | grep jax`.
the …
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I try to solve inv(L), where L is the lower triangular matrix generated from cholesky factorization of A. The way I do it:
fac = cholesky(A, ordering_method = 'xxx')
L = fac.L()
L1 = fac(L) ## sinc…
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These are just some near term goals for after the initial alpha release
## Array tooling pieces
- [ ] More fancy formats
- [ ] Symmetric (padded and packed)
- [ ] Hermitian (padded and packed)
…
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SciJS doesn't yet have a good linear solver. At the moment, we have the following simple package (thanks @substack) which works ok for smaller systems using an LU decomposition:
- https://www.npmjs.c…
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The functions
- da.linalg.cholesky
- da.linalg.lu
- da.linalg.solve (it's a wrapper around the above two)
contain the same keys in multiple layers of the HighLevelGraph.
Since #7274 (2021.03.…
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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…