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### Current implementation
Broadly speaking, the [MnaSolver](https://github.com/sogno-platform/dpsim/blob/master/dpsim/include/dpsim/MNASolver.h) class sets up system related objects (MNA-components,…
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I know CLIMA is one of the few projects making use of the OrdinaryDiffEq.jl linear solver interface. The latest breaking release's breaking part is that the old linear solver part was ripped out and r…
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JAX already has excellent parallelism support via `jax.Array`, the compiler could choose sharding so that maximum parallelize for elementwise operations and matrix multiplication. But the linear algeb…
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```julia
using SparseArrays
tend = 1.0
K = sprand(100,100,0.1)
C = sprand(100,100,0.1)
T0 = rand(100)
f(dT, T, p, t) = begin dT .= -((K * T)); end
jac(J,T,p,t) = (J .= -K)
tspan = (0.0, tend)
…
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`QuantileRegressor` has been implemented in https://github.com/scikit-learn/scikit-learn/pull/9978
However, it was reported to have an issue with large array of data where linear programming solvers …
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Document that solvers can rely on the fact that `MatrixOfConstraints` does not implement deletion of rows and columns and hence, the `OptimizerCache` can be done in a way such that the index map is id…
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Hello!
I'm working on a project that needs a large sparse linear system solved each iteration of a simulation, this takes about 90% of each iterations time, the matrix is about 10.000x10.000 in siz…
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I noticed that there is already the option for GPU acceleration in the code base. Is that actually implemented and is there any documentation for GPU acceleration using the python package?
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Despite making it easy for users to formulate and solve a wide range of optimization problems, JuMP provides little support for the users who make mistakes, or tools for advanced users to debug proble…
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This looks fantastic! Will it work for large systems with sparse matrices linear solvers too?