I’ll be writing about my trip to Goddard in the next week or so. But first, I feel like I should write about this Comet I have been playing a bit with. When I was a kid, supercomputers were these giant mythical beasts. We didn’t know what they were good for, but we knew NASA and Lawrence Livermore had them. They must be cool. Of course, there was one in Wargames: Around the mid 1990, some guys at Goddard figured out a way to link a network of workstations into a high throughput computer and called it a Beowulf cluster.
The report of Leistra on reported versus estimated boiling points and vapor pressures for pesticides provides an interesting case study in mathematical underpinnings for the phenomena investigated. Reports of chemical properties are available from many online databases such as ChemSpider, PubChem, and others. But these aggregate other sources of data to get chemical properties. In some cases, they are from a manufacturer. Of course, manufacturers often report values without a method or explanation of how it was determined. The article makes a number of assumptions, the most important of which is that reported values are based on experimental observations. That’s
I’ve started falling in love with reverse Polish notation (RPN) again. This mostly comes from using PCalc on my iPhone for a lot of calculations, lately. Like so many other kids, I grew up using the Texas Instruments, starting with the TI-82 and TI-85. In college, I “upgraded” to a TI-86, which I recently found in my basement, and it still works. It’s a testament to both the ruggedness of the Texas Instruments builds and the long-lasting durability of the Zilog Z-80, the silicon inside the case. This post won’t teach you how to use RPN, since there are plenty
My new book Computational Methods for Numerical Analysis with R came out today from Chapman & Hall/CRC Press. This book is a long-standing project of mine–originally started in 2001, and then using Octave as the base language. As the world didn’t need yet another book on doing numerical analysis in Octave, and therefore MATLAB, I eventually moved it to R. Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R
The virtual bumblebees are now available for download under an MIT license. The bees were kinda/sorta always available, but I have clarified the licensing. To celebrate, the Journal of Open Source Software has published a software abstract, “Virtual Bumblebees Artificial Life Simulation.” The Journal of Open Source Software (JOSS) is a great project that aims to be “a developer friendly journal for research software packages.” The overall idea is that research software should occasionally be able to stand alone as the outcome of a research project and in this case, it fit the bees perfectly. So I was quite happy
At work, we just did a really neat set of predictive models for restaurant inspections. This is all based on the work Chicago did for the analysis. We kinda/sorta split into different groups and did analyses for three cities (with links to reports): Raleigh, North Carolina, Syracuse, New York, and Denver, Colorado. Together, these three reports show different approaches and analyses we used in the three different cities, along with discussion of how we applied the Chicago work. More information is available from our GitHub page: GitHub – iscoe/restaurant_inspections: Predicting violations for restaurant inspections restaurant_inspections – Predicting violations for restaurant