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Fixed BXNL doc
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BXNL/simple_BXNL/Readme.md

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> ## Important Information
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> You can view this page as a [webpage](https://numericalalgorithmsgroup.github.io/NAGJavaExamples/opt_imp_vol) or access this as a regular github [repository](https://github.com/numericalalgorithmsgroup/NAGJavaExamples/tree/main/opt_imp_vol).
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> This file has a lot of Latex and GitHub currently cannot render it on Markdown files. You can read all the math clearly as a [webpage](https://numericalalgorithmsgroup.github.io/NAGJavaExamples/BXNL/simple_BXNL) or access this as a regular github [repository](https://github.com/numericalalgorithmsgroup/NAGJavaExamples/tree/main/BXNL/simple_BXNL).
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>
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> The source of this example can be found [here](https://github.com/numericalalgorithmsgroup/NAGJavaExamples/blob/main/nearest_correlation_matrices/NcmNag.java) and the output [here](https://github.com/numericalalgorithmsgroup/NAGJavaExamples/blob/main/nearest_correlation_matrices/output.txt).
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> See the top directory of this repository for instructions to set up the [NAG Library for Java](https://github.com/numericalalgorithmsgroup/NAGJavaExamples).
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etched nuclear track data to a convoluted distribution. A target
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sheet is scanned and track diameters (red wedges in
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the following Figure 1) are recorded into a histogram and a mixed Normal and log-Normal model is to be fitted to the experimental histogram (see Figure 2).
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![PADC](../images/tracks.png)
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<div style="text-align: center;">
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<img src="img/tracks.png" alt="PADC">
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</div>
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**Figure 1**: PADC with etched $$\alpha$$ particle tracks.
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