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DEO -> MOL
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docs/src/systems/PDESystem.md

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@@ -78,7 +78,6 @@ neural network to solve the differential equation.
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### DiffEqOperators.jl: MOLFiniteDifference (WIP)
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[DiffEqOperators.jl](https://github.com/SciML/DiffEqOperators.jl) defines the
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`MOLFiniteDifference` discretizer which performs a finite difference discretization
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using the DiffEqOperators.jl stencils. These stencils make use of NNLib.jl for
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fast operations on semi-linear domains.
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[MethodOfLines.jl](https://github.com/SciML/MethodOfLines.jl) defines the
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`MOLFiniteDifference` discretizer which performs a finite difference discretization.
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Includes support for higher approximation order stencils and nonuniform grids.

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