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8 changes: 4 additions & 4 deletions docs/src/solvers/solvers.md
Original file line number Diff line number Diff line change
Expand Up @@ -55,8 +55,8 @@ factorization methods if a lower tolerance of the solution is required.
Krylov.jl generally outperforms IterativeSolvers.jl and KrylovKit.jl, and is compatible
with CPUs and GPUs, and thus is the generally preferred form for Krylov methods. The
choice of Krylov method should be the one most constrained to the type of operator one
has, for example if positive definite then `Krylov_CG()`, but if no good properties then
use `Krylov_GMRES()`.
has, for example if positive definite then `KrylovJL_CG()`, but if no good properties then
use `KrylovJL_GMRES()`.

Finally, a user can pass a custom function for handling the linear solve using
`LinearSolveFunction()` if existing solvers are not optimally suited for their application.
Expand All @@ -69,8 +69,8 @@ then using a Krylov method is preferred in order to not concretize the matrix.
Krylov.jl generally outperforms IterativeSolvers.jl and KrylovKit.jl, and is compatible
with CPUs and GPUs, and thus is the generally preferred form for Krylov methods. The
choice of Krylov method should be the one most constrained to the type of operator one
has, for example if positive definite then `Krylov_CG()`, but if no good properties then
use `Krylov_GMRES()`.
has, for example if positive definite then `KrylovJL_CG()`, but if no good properties then
use `KrylovJL_GMRES()`.

!!! tip

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