Maths

This post deals with how to generate random numbers in R. It is good to know how to generate random numbers with a particular language or software package for at least one of the following three reasons:

In 2005, towards the end of the second year of my PhD I presented a poster at a conference in Dresden, Germany. My eccentric colleagues and I stayed on a huge canal boat moored on the Elbe for no discernible reason other than it seemed like a laugh at the time. In reality I was the second worst snorer of the three of us and it also turned out that our room was right underneath the gang-plank and every morning at six the person who made breakfast would stomp across it.

I want to see a TV show about great mathematicians of the past on a channel like BBC Four. Programmes about mathematics tend to be rather condescending, at least to anyone who has a bit of mathematical knowledge. Perhaps a way around this is to delve into the social and historical circumstances of the great mathematicians and how that along with their personality produced the mathematical results for which they are famous.

This is another mathematics post that does not actually feature any equations or graphs. It is intended to set the way clear for writing regularly about nonlinear systems. This in itself is a precursor to writing more about mathematical biology as biological systems are inherently complex and nonlinear. I am reading P. G. Drazin’s textbook on Nonlinear Systems and this post is a glossary of terms from the start of the book laid down here because I wanted to remember how to typeset definition lists in Markdown (though in the end I (ab)used <h4> tags because it looked better).

What’s your favourite number?