From ae4e344ade3894049943eaaf47faa35945e03619 Mon Sep 17 00:00:00 2001
From: zjwegert <60646897+zjwegert@users.noreply.github.com>
Date: Thu, 16 May 2024 06:50:53 +1000
Subject: [PATCH] Fix issue links

---
 docs/src/getting-started.md | 4 ++--
 src/ChainRules.jl           | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/src/getting-started.md b/docs/src/getting-started.md
index 841ad21..87b48b5 100644
--- a/docs/src/getting-started.md
+++ b/docs/src/getting-started.md
@@ -38,5 +38,5 @@ More general tutorials for familiarising ones self with Gridap are available via
 
 ## Known issues
 - PETSc's GAMG preconditioner breaks for split Dirichlet DoFs (e.g., x constrained while y free for a single node). There is no simple fix for this. We recommend instead using MUMPS or another preconditioner for this case.
-- Currently, our implementation of automatic differentiation does not support multiplication and division of optimisation functionals. We plan to add this in a future release of `GridapTopOpt.jl` -- Issue [#38](https://github.com/zjwegert/GridapTopOpt/issues/38).
-- Analytic gradient breaks in parallel for integrals of certain measures -- Issue [#46](https://github.com/zjwegert/GridapTopOpt/issues/46)
\ No newline at end of file
+- Currently, our implementation of automatic differentiation does not support multiplication and division of optimisation functionals. We plan to add this in a future release of `GridapTopOpt.jl` -- Issue [#38](https://github.com/zjwegert/GridapTopOpt.jl/issues/38).
+- Analytic gradient breaks in parallel for integrals of certain measures -- Issue [#46](https://github.com/zjwegert/GridapTopOpt.jl/issues/46)
\ No newline at end of file
diff --git a/src/ChainRules.jl b/src/ChainRules.jl
index 1b3eb62..a37df18 100644
--- a/src/ChainRules.jl
+++ b/src/ChainRules.jl
@@ -50,7 +50,7 @@ function Gridap.gradient(F::IntegrandWithMeasure,uh::Vector,K::Int)
   local_measures = map(local_views,F.dΩ) |> to_parray_of_arrays
   contribs = map(local_measures,local_fields) do dΩ,lf
     # TODO: Remove second term below, this is a fix for the problem discussed in
-    #  https://github.com/zjwegert/GridapTopOpt/issues/46
+    #  https://github.com/zjwegert/GridapTopOpt.jl/issues/46
     _f = u -> F.F(lf[1:K-1]...,u,lf[K+1:end]...,dΩ...) #+ ∑(∫(0)dΩ[i] for i = 1:length(dΩ))
     return Gridap.Fields.gradient(_f,lf[K])
   end
@@ -585,7 +585,7 @@ struct NonlinearFEStateMap{A,B,C,D,E,F} <: AbstractFEStateMap
     res = IntegrandWithMeasure(res,dΩ)
     if isnothing(jac)
       jacf = (u,du,v,φh) -> jacobian(res,[u,v,φh],1)
-    else 
+    else
       jacf = (u,du,v,φh) -> jac(u,du,v,φh,dΩ...)
     end
     spaces = (U,V,V_φ,U_reg)