danmackinlay

information and Phase Transitions in Socio-Economic Systems

Terry Bossomaier, Dan Mackinlay, Lionel Barnett...

\section{Introduction}
\label{sec:intro}
Diamonds are not a good very long term investment! They are steadily turning into graphite. It will take millions of years, but the most stable form of carbon at room temperature and pressure is graphite. Thus diamonds will undergo a phase transition to graphite, albeit over a very long timescale.

When we normally think of phase transitions we think of the states of matter, ice melting to water or water turning to steam.  They are order/disorder transitions. In graphite the carbon atoms are linked together in layers. The layers can slide over one another giving graphite its excellent lubricant properties. In diamond the carbon atoms are linked together in a three dimensional structure with each carbon at the centre of a tetrahedron linked to carbons at all four corners. Thus carbon has to go through a major structural reorganization to change from diamond t

danmackinlay

information and Phase Transitions in Socio-Economic Systems

Terry Bossomaier, Dan Mackinlay, Lionel Barnett...

\section{Introduction}
\label{sec:intro}
Diamonds are not a good very long term investment! They are steadily turning into graphite. It will take millions of years, but the most stable form of carbon at room temperature and pressure is graphite. Thus diamonds will undergo a phase transition to graphite, albeit over a very long timescale.

When we normally think of phase transitions we think of the states of matter, ice melting to water or water turning to steam.  They are order/disorder transitions. In graphite the carbon atoms are linked together in layers. The layers can slide over one another giving graphite its excellent lubricant properties. In diamond the carbon atoms are linked together in a three dimensional structure with each carbon at the centre of a tetrahedron linked to carbons at all four corners. Thus carbon has to go through a major structural reorganization to change from diamond t

danmackinlay

/*
 * file-based loggers, because logging to a GUI window is no good when SuperCollide does its segfault thing.
 */
NullLogger {
	/* this parent class provdes a black hole logger so that you can stop
	 logging without changing code. */
	formatMsg {|msgs|
		var stampedMsgs = msgs;
		//A nil in the first msg argument will be replaced by a datestamp
		msgs[0].isNil.if({

danmackinlay

Fri Mar  2 11:04:59 2012
panic(cpu 0 caller 0xffffff7f80a87907): NVRM[0/1:0:0]: Read Error 0x00000100: CFG 0xffffffff 0xffffffff 0xffffffff, BAR0 0xc0000000 0xffffff8115c2d000 0x0a5480a2, D0, P3/4
Backtrace (CPU 0), Frame : Return Address
0xffffff811560ae70 : 0xffffff8000220702 
0xffffff811560aef0 : 0xffffff7f80a87907 
0xffffff811560af80 : 0xffffff7f80b77a64 
0xffffff811560afd0 : 0xffffff7f80b77b24 
0xffffff811560b030 : 0xffffff7f80e24749 
0xffffff811560b170 : 0xffffff7f80b96bad 
0xffffff811560b1a0 : 0xffffff7f80a91282 

danmackinlay

import numpy as np
from math import pi, log
import pylab
from scipy import fft, ifft
from scipy.optimize import curve_fit

i = 10000
x = np.linspace(0, 3.5 * pi, i)
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 *
    np.random.randn(i))

danmackinlay

#!/bin/sh

# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
# CREATE block and create them in separate commands _after_ all the INSERTs.

# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
# The mysqldump file is traversed only once.

# Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite
# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite

danmackinlay

import os
import tempfile
import subprocess
import skimage
from skimage import exposure
import skimage.io as io
import argparse
import shutil
import numpy as np

danmackinlay

library(rhdf5)

load.sparse.hdf = function (filename, path) {
  idx = as.vector(h5read(filename, paste(path, "v_indices", sep="/")))
  idxptr = as.vector(h5read(filename, paste(path, "v_indptr", sep="/")))
  vals = as.vector(h5read(filename, paste(path, "v_data", sep="/")))
  dims = as.vector(h5read(filename, paste(path, "v_datadims", sep="/")))
  col.names = h5read(filename, paste(path, "v_col_names", sep="/"))
  
  data = sparseMatrix(

danmackinlay

import numpy as np
from scipy.stats import rv_discrete
from scipy.special import gamma, gammaln


class gpd_gen(rv_discrete):
    """
    A Lagrangian Generalised Poisson-Poisson distribution.

    ``eta`` is the branching ratio,

danmackinlay

Usage

Download the script by clicking the filename at the top of the box. Make it executable. If you run it with no arguments, it prints a usage summary. If you run it with a single argument – the name of the pdf to shrink – it writes the result to stdout:

./shrinkpdf.sh in.pdf > out.pdf

You can also provide a second filename for the output: