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docs CI: re-clone OrdinaryDiffEq fresh in env setup (fix master Documentation build) #870

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Merged
ChrisRackauckas merged 2 commits into from
Jun 16, 2026
Merged

docs CI: re-clone OrdinaryDiffEq fresh in env setup (fix master Documentation build) #870

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82e7e75
docs CI: re-clone OrdinaryDiffEq fresh in env setup (drop stale dev c…
ChrisRackauckas Jun 15, 2026
bd1f6b5
docs: fix AlgebraicMultigrid preconditioner example + linkcheck failures
ChrisRackauckas Jun 15, 2026
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6 changes: 6 additions & 0 deletions .github/workflows/Documentation.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,12 @@ jobs:
Pkg.develop(PackageSpec(path=pwd()))
Pkg.instantiate()
println("--- Adding OrdinaryDiffEq from master")
# Drop any stale dev checkout a previous run left in ~/.julia/dev so the
# current master is cloned fresh; a stale checkout can pin an old version
# that conflicts with the docs [compat] (e.g. OrdinaryDiffEq 6.x vs "7").
let p = joinpath(Pkg.devdir(), "OrdinaryDiffEq")
isdir(p) && rm(p; recursive = true, force = true)
end
Pkg.develop("OrdinaryDiffEq")
env:
DATADEPS_ALWAYS_ACCEPT: true
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2 changes: 2 additions & 0 deletions docs/make.jl
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Expand Up @@ -174,6 +174,8 @@ makedocs(
"https://docs.sciml.ai/DiffEqDocs/stable/features/dae_initialization/",
"https://www.sciencedirect.com/science/article/pii/S0096300304009683",
"https://github.com/JuliaDiff/FiniteDiff.jl",
"https://github.com/SciML/LinearSolve.jl",
"https://www.mathworks.com/help/matlab/math/nonnegative-ode-solution.html",
],
doctest = false, clean = true,
warnonly = [:missing_docs, :docs_block],
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9 changes: 7 additions & 2 deletions docs/src/tutorials/advanced_ode_example.md
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Expand Up @@ -273,7 +273,11 @@ which is more automatic. The setup is very similar to before:
```@example stiff1
import AlgebraicMultigrid
function algebraicmultigrid(W, p)
Pl = AlgebraicMultigrid.aspreconditioner(AlgebraicMultigrid.ruge_stuben(convert(AbstractMatrix, W)))
A = convert(AbstractMatrix, W)
# Use a direct (LU) coarse solver: AlgebraicMultigrid's default `Pinv` coarse solver
# forms a dense pseudo-inverse via SVD, which errors on the non-SPD `W = I - γJ`.
Pl = AlgebraicMultigrid.aspreconditioner(AlgebraicMultigrid.ruge_stuben(A;
coarse_solver = AlgebraicMultigrid.LinearSolveWrapper(LS.UMFPACKFactorization())))
Pl, LinearAlgebra.I
end

Expand All @@ -290,7 +294,8 @@ function algebraicmultigrid2(W, p)
A = convert(AbstractMatrix, W)
Pl = AlgebraicMultigrid.aspreconditioner(AlgebraicMultigrid.ruge_stuben(A,
presmoother = AlgebraicMultigrid.Jacobi(rand(size(A, 1))),
postsmoother = AlgebraicMultigrid.Jacobi(rand(size(A, 1)))))
postsmoother = AlgebraicMultigrid.Jacobi(rand(size(A, 1))),
coarse_solver = AlgebraicMultigrid.LinearSolveWrapper(LS.UMFPACKFactorization())))
Pl, LinearAlgebra.I
end

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