From b7194f885d3fd64303d9fa914ad1b7c3c82d0c89 Mon Sep 17 00:00:00 2001 From: Vedant Puri Date: Thu, 7 Apr 2022 17:45:12 +0530 Subject: [PATCH] Update solvers.md typos --- docs/src/solvers/solvers.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/src/solvers/solvers.md b/docs/src/solvers/solvers.md index 21590553c..94381d56d 100644 --- a/docs/src/solvers/solvers.md +++ b/docs/src/solvers/solvers.md @@ -26,8 +26,8 @@ CPU-based arrays while Krylov.jl is more general and will support accelerators like CUDA. Krylov.jl works with CPUs and GPUs and tends to be more efficient than other Krylov-based methods. -Finally, a user can pass a custom function ofr the linear solve using -`LinearSolveFunction()` if existing solvers are not optimal for their application. +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. The interface is detailed [here](#passing-in-a-custom-linear-solver) ## Full List of Methods