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docs/src/getting_started/find_root.md

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@@ -152,7 +152,7 @@ prob2 = NonlinearProblem(ns, [x => 2.0, σ => 4.0])
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### Step 4: Solve the Numerical Problem
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Now we solve the nonlinear system. For this, we choose a solver from the
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[NonlinearSolve.jl's solver options.](https://docs.sciml.ai/NonlinearSolve/stable/solvers/NonlinearSystemSolvers/)
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[NonlinearSolve.jl's solver options.](https://docs.sciml.ai/NonlinearSolve/stable/solvers/nonlinear_system_solvers/)
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We will choose `NewtonRaphson` as follows:
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```@example first_rootfind
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From this, we can see that it is an `NonlinearSolution`. We can see the documentation for
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how to use the `NonlinearSolution` by checking the
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[NonlinearSolve.jl solution type page.](https://docs.sciml.ai/NonlinearSolve/stable/basics/NonlinearSolution/)
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[NonlinearSolve.jl solution type page.](https://docs.sciml.ai/NonlinearSolve/stable/basics/nonlinear_solution/)
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For example, the solution is stored as `.u`.
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What is the solution to our nonlinear system, and what is the final residual value?
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We can check it as follows:

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