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@@ -20,10 +20,11 @@ Pkg.clone("https://github.com/JuliaDiffEq/MATLABDiffEq.jl")
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## Using MATLABDiffEq.jl
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MATLABDiffEq.jl is simply a solver on the DiffEq common interface, so for details see the [DifferentialEquations.jl documentation](https://juliadiffeq.github.io/DiffEqDocs.jl/latest/). However, there are two things to know:
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MATLABDiffEq.jl is simply a solver on the DiffEq common interface, so for details see the [DifferentialEquations.jl documentation](https://juliadiffeq.github.io/DiffEqDocs.jl/latest/). However, there are three things to know:
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1. The only options implemented are those for error calculations (`timeseries_error`), `saveat` and tolerances.
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2. The input function must be defined by a `ParameterizedFunction`
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3. The input function must not use parameters
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Note that the algorithms are defined to have the same name as the MATLAB algorithms, but are not exported. Thus to use `ode45`, you would specify the algorithm as `MATLABDiffEq.ode45()`.
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