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fix typo (#515)
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docs/src/examples/second_order_adjoints.md

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@@ -74,6 +74,6 @@ pmin = DiffEqFlux.sciml_train(loss_neuralode, pstart, NewtonTrustRegion(), cb=cb
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pmin = DiffEqFlux.sciml_train(loss_neuralode, pstart, Optim.KrylovTrustRegion(), cb=cb, maxiters = 200)
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```
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Note that we do note demonstrate `Newton()` because we have not found a single
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Note that we do not demonstrate `Newton()` because we have not found a single
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case where it is competitive with the other two methods. `KrylovTrustRegion()`
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is generally the fastest due to its use of Hessian-vector products.

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