Since Christmas, at my house we’ve been cooking with 5 ingredients or fewer thanks to the acquisition of Jamie Oliver’s new book, the contents of which are mostly available online here. The recipes are unanimously very tasty, but that’s besides the point. The real mark of culinary excellence (in my humble opinion) is how efficiently one can buy ingredients to make as many of the recipes as possible in one shopping trip. Let’s investigate while the lamb is on.
Those who know me know that I am a fierce proponent of the digital-native lifestyle. Online shopping, cashless payments, the fewer physical components the better in my book.
Except for my books.
Intriguing title, no? These are the first eleven words of Neal Stephenson’s novel Seveneves, which set up the remaining 600 pages as an extended treatise on the future of humanity as it copes with certain annihilation. I thoroughly recommend it, as long as you can deal with hundreds of pages of orbital mechanics. In this post I will numerically explore this post-lunar age, to verify for myself if it would be as deadly as described.
A break from physics to show something which might be actually useful to some people. Normal service will resume shortly.
I wrote this blog post because I saw a woman throw a banana at Russell Brand. Bear with me on this one.
Recently the extractor fan in my bathroom has started malfunctioning, occasionally grinding and stalling. The infuriating thing is that the grinding noise isn’t perfectly periodic – it is approximately so, but there are occasionally long gaps and the short gaps vary slightly. This lack of predictability makes the noise incredibly annoying, and hard to tune out. Before getting it fixed, I decided to investigate it a bit further.
As a poor student, I always tried to keep a close eye on what I spent. This usually amounted to skimming statements and manually keeping track of what went where, a decidedly sub-optimal solution.
Thanks to an initiative called MiData, you are now able to download transaction histories from your current account in CSV format, which is ripe for analysis. I built a small tool for myself, which I put online here for your enjoyment. I should note this is the first slightly complex thing I’ve written in Javascript, so if it breaks in unexpected ways feel free to get in touch and let me know.
Here’s a fun problem I came across when trying to analyse some data, which I thought I’d write up to illustrate the kind of interesting puzzles I get paid to solve as a physicist. Perhaps have a go yourselves and let me know if there are more intuitive solutions.
In this third of a trinity of posts involving the travelling salesman problem, we finally use the sophisticated algorithms at our disposal as they were intended: drinking with peak efficiency.
With the aid of a well-placed Christmas present detailing the best pubs in London, I found the optimal route around a reasonable subset of them.
This is the second in a series of posts involving the travelling salesman problem, somehow even more frivolous than the first. This is no coincidence, as I have recently been reading the excellent book ‘In Pursuit of the Travelling Salesman‘, which goes into great detail on the history of the problem and algorithmic techniques for tackling it. The topic which caught my eye was decidedly less technical, as we shall see below.
