From bcd8b18d9c577ca956e2a9b08150d9a9614ee5e0 Mon Sep 17 00:00:00 2001 From: Christopher Rackauckas Date: Sun, 18 May 2025 17:55:05 +0000 Subject: [PATCH] Update getting_started.md --- docs/src/tutorials/getting_started.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/src/tutorials/getting_started.md b/docs/src/tutorials/getting_started.md index 0dd8481d..38d0ca92 100644 --- a/docs/src/tutorials/getting_started.md +++ b/docs/src/tutorials/getting_started.md @@ -120,7 +120,7 @@ isconstant(opB) Now let's define the operators from above in a matrix-free way using `FunctionOperator`. With `FunctionOperator`, we directly define the operator application function `opA(w,v,u,p,t)` -which means `w = opA(u,p,t)*v`. For exmaple we can do the following: +which means `w = opA(u,p,t)*v`. For example we can do the following: ```@example getting_started function Afunc!(w,v,u,p,t) @@ -234,4 +234,4 @@ doing algebras on operators. What's next? How do you use SciMLOperators? Check out the following downstream pages: * [Using SciMLOperators in LinearSolve.jl for matrix-free Krylov methods](https://docs.sciml.ai/LinearSolve/stable/tutorials/linear/) -* [Using SciMLOperators in OrdinaryDiffEq.jl for semi-linear ODE solvers](https://docs.sciml.ai/DiffEqDocs/stable/solvers/nonautonomous_linear_ode/) \ No newline at end of file +* [Using SciMLOperators in OrdinaryDiffEq.jl for semi-linear ODE solvers](https://docs.sciml.ai/DiffEqDocs/stable/solvers/nonautonomous_linear_ode/)