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Update docs/Project.toml
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docs/Project.toml

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@@ -6,12 +6,12 @@ LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
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Makie = "ee78f7c6-11fb-53f2-987a-cfe4a2b5a57a"
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OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
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OrdinaryDiffEqTsit5 = "b1df2697-797e-41e3-8120-5422d3b24e4a"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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[compat]
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Documenter = "1"
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Makie = "0.20"
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Makie = "0.21"
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[extras]
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CPUSummary = "2a0fbf3d-bb9c-48f3-b0a9-814d99fd7ab9"

examples/heat.jl

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@@ -305,11 +305,11 @@ Lcol = collocation_matrix(R, xcol, Derivative(2))
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ν = 0.01
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Lcol *= ν
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# Finally, for the time integration, we use OrdinaryDiffEq.jl from the
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# Finally, for the time integration, we use OrdinaryDiffEqTsit5.jl from the
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# [DifferentialEquations.jl suite](https://diffeq.sciml.ai/stable/).
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using LinearAlgebra
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using OrdinaryDiffEq
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using OrdinaryDiffEqTsit5
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function heat_rhs!(du, u, params, t)
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mul!(du, params.L, u) # du = ν * L * u

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