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Update docs/src/inverse_problems/optimization_ode_param_fitting.md
Co-authored-by: Sam Isaacson <[email protected]>
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docs/src/inverse_problems/optimization_ode_param_fitting.md

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@@ -34,7 +34,7 @@ plot(true_sol; idxs=:P, label="True solution", lw=8)
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plot!(data_ts, data_vals; label="Measurements", seriestype=:scatter, ms=6, color=:blue)
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```
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Next, we will use DiffEqParamEstim.jl to build a loss function that describing how well our model's simulations fit the data.
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Next, we will use DiffEqParamEstim.jl to build a loss function to measure how well our model's solutions fit the data.
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```@example diffeq_param_estim_1
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using DiffEqParamEstim, Optimization
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p_dummy = [:kB => 0.0, :kD => 0.0, :kP => 0.0]

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