diff --git a/README.md b/README.md
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+++ b/README.md
@@ -1,5 +1,12 @@
 ![NAG Logo](./nag_logo.png)
 
+## New material in Mark 27 
+
+### Second Order Cone Programming
+
+* [Portfolio Optimisation using SOCP](./local_optimisation/SOCP/static/portfolio_optimisation_using_socp.html)
+* [Robust linear programming in portfolio optimization using the NAG Library](./local_optimisation/SOCP/static/robust_lp.html)
+
 # Examples using the NAG Library for Python
 
 This repository contains examples and demonstrations using the [NAG Library for Python](https://www.nag.co.uk/nag-library-python).  The NAG Library for Python contains 1700+ functions spanning many areas of numerical computing and data science.  
@@ -94,6 +101,7 @@ The following links take you to the relevant section in the official documentati
 * [library.quad](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.quad.html) - Quadrature
 * [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)
 * [library.roots](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.roots.html) - Roots of One or More Transcendental Equations
+* [library.rnla](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.rnla.html) - Randomized Numerical Linear Algebra
 * [library.smooth](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.smooth.html) - Smoothing in Statistics
 * [library.sort](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.sort.html) - Sorting and Searching
 * [library.sparseig](https://www.nag.co.uk/numeric/py/nagdoc_latest/naginterfaces.library.sparseig.html) - Large Scale Eigenproblems
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-theme: jekyll-theme-minimal
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+theme: jekyll-theme-modernist
+title: NAG Library for Python Demos
+description: Demonstrations and examples making use of the NAG Library for Python