LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
In the latter method, in the function SciMLBase.solve!,
it is not clear how the A matrix is passed.
It would be better if this was a full runnable example.
There are inplace and outofplace problems.
Neither of the two methods seems to interact with this aspect of the problem.
It is unclear to me what is actually mutated in an inplace problem with a concrete A.
Why are there 2 methods for doing custom linear solves: https://docs.sciml.ai/LinearSolve/dev/advanced/custom/ https://docs.sciml.ai/LinearSolve/dev/advanced/developing/ it is not clear to me when to use one over the other method.
In the latter method, in the function
SciMLBase.solve!
, it is not clear how theA
matrix is passed. It would be better if this was a full runnable example.There are inplace and outofplace problems. Neither of the two methods seems to interact with this aspect of the problem. It is unclear to me what is actually mutated in an inplace problem with a concrete A.