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Merge pull request #256 from Zinoex/fm/fix_optimization_under_uncertainty_docs
Fix description in Optimization under Uncertainty showcase
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docs/src/showcase/optimization_under_uncertainty.md

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## Optimization Under Uncertainty
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We now wish to optimize the initial position ($x_0,y_0$) and horizontal velocity ($\dot{x}_0$) of the system to minimize the expected squared miss distance from the star, where $x_0\in\left[-100,0\right]$, $y_0\in\left[1,3\right]$, and $\dot{x}_0\in\left[10,50\right]$. We will demonstrate this using a gradient-based optimization approach from NLopt.jl using `ForwardDiff.jl` AD through the expectation calculation.
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We now wish to optimize the initial position ($x_0,y_0$) and horizontal velocity ($\dot{x}_0$) of the system to minimize the expected squared miss distance from the star, where $x_0\in\left[-100,0\right]$, $\dot{x}_0\in\left[1,3\right]$, and $y_0\in\left[10,50\right]$. We will demonstrate this using a gradient-based optimization approach from NLopt.jl using `ForwardDiff.jl` AD through the expectation calculation.
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```@example control
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using Optimization, OptimizationNLopt, OptimizationMOI

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