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Link to RNLA chapter documentation
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README.md

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@@ -101,6 +101,7 @@ The following links take you to the relevant section in the official documentati
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* [library.quad](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.quad.html) - Quadrature
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* [library.rand](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.rand.html) - Random Number Generators (pseudorandom and quasi-random numbers from various distributions and models)
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* [library.roots](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.roots.html) - Roots of One or More Transcendental Equations
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* [library.rnla](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.rnla.html) - Randomized Numerical Linear Algebra
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* [library.smooth](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.smooth.html) - Smoothing in Statistics
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* [library.sort](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.sort.html) - Sorting and Searching
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* [library.sparseig](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.sparseig.html) - Large Scale Eigenproblems

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