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Merged
ChrisRackauckas merged 2 commits into from
Mar 25, 2022
Merged

Update Docs, building locally #56

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8930fd9
update make.jl
xtalax Mar 25, 2022
883746f
bold -> title in icbc_sampled.md
xtalax Mar 25, 2022
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2 changes: 1 addition & 1 deletion docs/make.jl
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Expand Up @@ -17,7 +17,7 @@ makedocs(
"Boundary Conditions" => "boundary_conditions.md",
"How it works" => "howitworks.md",
"Notes for developers: Implement a scheme" => "devnotes.md",
"Generated Examples" => ["generated/bruss_sys.md", "generated/bruss_ode_eqs.md"]
"Generated Examples" => ["generated/bruss_code.md", "generated/bruss_ode_eqs.md"]
# "Tutorial: Burgers" => "tutorials/burgers.md",
# "Tutorial: 1D Linear Diffusion" => "tutorials/1d_linear_diffusion.md",
# "Tutorial: 1D Non-Linear Diffusion" => "tutorials/1d_nonlinear_diffusion.md",
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2 changes: 1 addition & 1 deletion docs/src/tutorials/icbc_sampled.md
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@@ -1,4 +1,4 @@
### Initial and Boundary Conditions with sampled/measured Data
# Initial and Boundary Conditions with sampled/measured Data

Initial and boundary conditions are sometimes applied with measured data that is itself pre-discretized. In order to use such data it is recommended to leverage [`Interpolations.jl`](https://github.com/JuliaMath/Interpolations.jl), or [`DataInterpolations.jl`](https://github.com/PumasAI/DataInterpolations.jl), for better dealing with possibly noisy data (currently limited to 1D). to create a callable effectively continuous function, for example (from the `Interpolations.jl` [docs](http://juliamath.github.io/Interpolations.jl/latest/control/)):
1D:
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