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For JuMP-dev 2024, I wanted to give the elapsed time to solve a very large optimization problem with Ipopt and different linear solvers (MUMPS, SPRAL, MA27, MA57) but I got a segmentation fault for SP…
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In a discussion with my friend @skieninger about the speed of sparse linear solvers of Matlab versus Python for solving a large system of equation (around 1e6) , we compared the backslash solver of Ma…
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It looks like there's no support for array and matrix operations in `linear_expansion`, e.g. `broadcast`.
I also have found that the workaround of performing `scalarize` on everything prior to `lin…
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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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The Iterative Solver lab references a lab on linear systems that could be useful to solve problem 5. After looking for it in Bootcamp 2018, I could not find it. Is it in a specific folder?
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While standard linear systems seem adequately supported, there seems to be no way to differentiate expressions involving the cholesky decomposition. I believe the decomposition itself might be support…
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Patch implements solving a linear system of equations in the most naive way possible, just augmenting the matrix and row-reducing.
For fields like `ZZ`, `QQ`, and integers mod p, this can be 3% to …
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the current solution using np.linalg.solve does not take into account the symmetry of M and H also a new block matrix is being allocated when unnecessary. I think K_B and K_l are symmetric as well
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I am trying to solve a sparse linear system with Vectorz, but it seems to lack some basic algorithms to do it efficiently.
I want to solve Ku=F, where K is a sparse matrix and F a dense vector.
The c…