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convection #7

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merged 20 commits into from
Mar 3, 2023
Merged

convection #7

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b5de153
update compat
xtalax Feb 13, 2023
ff9da42
fixes
xtalax Feb 28, 2023
12dbdb7
more diffusion
xtalax Feb 28, 2023
39c1a75
convection diffusion
xtalax Feb 28, 2023
95d9699
typo
xtalax Feb 28, 2023
141d89b
ps for covection
xtalax Mar 1, 2023
b5e8660
update compat
xtalax Mar 1, 2023
1e1af14
frmt
xtalax Mar 1, 2023
8786406
test retcode
xtalax Mar 1, 2023
822f572
readme
xtalax Mar 1, 2023
3c58ab9
comment invalid tests
xtalax Mar 1, 2023
74989a3
a fix
xtalax Mar 2, 2023
fd0bcab
fixes
xtalax Mar 2, 2023
c3985f4
fix new retcode
xtalax Mar 2, 2023
602582d
add compat
xtalax Mar 2, 2023
f31f003
waay more convection systems
xtalax Mar 2, 2023
d6c1b6f
fix faliures
xtalax Mar 2, 2023
e90cd8a
better system names
xtalax Mar 2, 2023
1978de9
the old global loop shadowing problem
xtalax Mar 3, 2023
438ef58
format
xtalax Mar 3, 2023
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7 changes: 5 additions & 2 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -5,18 +5,21 @@ version = "0.1.0"

[deps]
DomainSets = "5b8099bc-c8ec-5219-889f-1d9e522a28bf"
IfElse = "615f187c-cbe4-4ef1-ba3b-2fcf58d6d173"
Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"

[compat]
DomainSets = "0.5, 0.6"
Interpolations = "0.12"
Interpolations = "0.14"
Markdown = "1"
ModelingToolkit = "8"
ModelingToolkit = "8.48"
OrdinaryDiffEq = "6"
SciMLBase = "1.88"

[extras]
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -6,7 +6,7 @@ These can then be solved with the help of the various discretizer packages of Sc
- [MethodOfLines.jl](https://www.github.com/SciML/MethodOfLines.jl)
- [NeuralPDE.jl](https://www.github.com/SciML/NeuralPDE.jl)

It can be used for benchmarking, verification, research in to discretization methods, and any other ideas you might have.
It can be used for benchmarking, verification, showing off your work, research in to discretization methods, and any other ideas you might have.

If you have a well posed system, please add it! Any and all PDE systems are welcome, even if they cannot currently be solved by discretizer packages.
Please include a short abstract where possible, explaining where the system arises to aid future readers and large language models.
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2 changes: 1 addition & 1 deletion lib/brusselator.jl
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Expand Up @@ -138,7 +138,7 @@ function brusselator_2d()
tags = ["2D", "Brusselator", "Periodic", "Nonlinear", "Reaction", "Diffusion"]

@named bruss = PDESystem(eq, bcs, domains, [x, y, t], [u(x, y, t), v(x, y, t)],
analytic_func = analytic_func)
analytic_func = analytic_func, metadata = tags)

bruss
end
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