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Merge pull request #16 from tmigot/add-export
Add export
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README.md

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# PDEOptimizationProblems
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A list of optimization problems with ODE/PDE in the constraints model and discretized using [Gridap.jl]() and [PDENLPModels.jl]().
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A list of optimization problems with ODE/PDE in the constraints model and discretized using [Gridap.jl](https://github.com/gridap/Gridap.jl) and [PDENLPModels.jl](https://github.com/JuliaSmoothOptimizers/PDENLPModels.jl).
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The list of problems can be accessed as a string
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```
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PDEOptimizationsProblems.problems
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PDEOptimizationsProblems.problems # or setdiff(names(PDEOptimizationProblems), [:PDEOptimizationProblems])
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```
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and each problem can be accessed as follows
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```

src/apinene.jl

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export apinene
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# Isometrization of α-pinene COPS Problem v.0.3.1
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# https://www.mcs.anl.gov/~more//cops/cops3.pdf
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function apinene(args...; n = 400, kwargs...)

src/bearing.jl

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export bearing
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# Journal Bearing COPS Problem v.0.3.1
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# https://www.mcs.anl.gov/~more//cops/cops3.pdf
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# n= 50, 75, 100

src/burger1d.jl

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export Burger1d
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export burger1d
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"""
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`Burger1d(;n :: Int = 512, kwargs...)`

src/burger1d_param.jl

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export burger1d_param
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function burger1d_param(args...; n = 512, kwargs...)
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domain = (0, 1)
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partition = n

src/catmix.jl

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export catmix
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# Catalyst Mixing COPS Problem v.0.3.1
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# https://www.mcs.anl.gov/~more//cops/cops3.pdf
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# n=100, 200, 400

src/cellincrease.jl

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export cellincrease
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"""
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Mairet, F., & Bayen, T. (2021). The promise of dawn: microalgae photoacclimation as an optimal control problem of resource allocation. Journal of Theoretical Biology, 515, 110597.
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src/cellincrease_MichaelisMenten.jl

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export cellincrease_MichaelisMenten
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"""
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Mairet, F., & Bayen, T. (2021). The promise of dawn: microalgae photoacclimation as an optimal control problem of resource allocation. Journal of Theoretical Biology, 515, 110597.
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src/channel.jl

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export channel
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# Isometrization of Flow in a Channel COPS Problem v.0.3.1
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# https://www.mcs.anl.gov/~more//cops/cops3.pdf
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function channel(args...; n = 400, kwargs...)

src/controlsir.jl

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export controlsir
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function controlsir(args...; x0 = [1, 2], n = 10, a = 0.2, b = 0.1, μ = 0.1, T = 1, kwargs...)
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model = CartesianDiscreteModel((0, T), n)
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