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Maths, Stats & Functional Programming

Formerly known as Idontgetoutmuch s Weblog

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Stochastic Systems, Fokker-Planck and the Heat Equation via Haskell

This is a short example of taking a stochastic system, using Fokker-Planck to convert it to a PDES and using SUNDIALS to solve a 2D partial differential equation in Haskell via the hmatrix-sundials library. The example is taken from the C examples that come with the SUNDIALS source. Here’s the full blog.

One Dimensional Heat Equation via SUNDIALS and Haskell

This is a short example of how to use SUNDIALS to solve a simple partial differential equation in Haskell via the hmatrix-sundials library. The example is taken from the C examples that come with the SUNDIALS source. Here s the full blog. I ll give a better URL soonish.

Naperian Functors meet surface sea temperatures

Blog post on my new site.

Data Science in Haskell: An example using temperature data from Thailand and Myanmar

Blog post on my new site.

Estimating Parameters in Chaotic Systems

Post available from my new site. Sadly WordPress doesn t allow me to render the html exported by a Jupyter notebook.

Cartography in Haskell

Introduction This blog started off life as a blog post on how I use nix but somehow transformed itself into a “how I do data visualisation” blog post. The nix is still here though quietly doing its work in the background. Suppose you want to analyze your local election results and visualize them using a Continue reading Cartography in Haskell

Workshop on Numerical Programming in Functional Languages (NPFL)

I’m the chair this year for the first(!) ACM SIGPLAN International Workshop on Numerical Programming in Functional Languages (NPFL), which will be co-located with ICFP this September in St. Louis, Missouri, USA. Please consider submitting something! All you have to do is submit between half a page and a page describing your talk. There will Continue reading Workshop on Numerical Programming in…

Implicit Runge Kutta and GNU Scientific Library

Introduction These are some very hasty notes on Runge-Kutta methods and IRK2 in particular. I make no apologies for missing lots of details. I may try and put these in a more digestible form but not today. Some Uncomprehensive Theory In general, an implicit Runge-Kutta method is given by where and Traditionally this is written Continue reading Implicit Runge Kutta and GNU Scientific Library

Reproducibility and Old Faithful

Introduction For the blog post still being written on variatonal methods, I referred to the still excellent Bishop (2006) who uses as his example data, the data available in R for the geyser in Yellowstone National Park called “Old Faithful”. While explaining this to another statistician, they started to ask about the dataset. Since I Continue reading Reproducibility and Old Faithful

Haskell for Numerics?

Introduction Summary Back in January, a colleague pointed out to me that GHC did not produce very efficient code for performing floating point abs. I have yet to produce a write-up of my notes about hacking on GHC: in summary it wasn’t as difficult as I had feared and the #ghc folks were extremely helpful. Continue reading Haskell for Numerics?