dgleich

"""
demo_gexpmq.py
 
A demonstration of the Gauss-Seidel coordinate relaxation scheme
to estimate a column of the matrix exponential that operates
only on significant entries.  
 
Written by Kyle Kloster and David F. Gleich
"""
 

dgleich

# Read in the data without any processing
data <- read.table('http://www.dartmouth.edu/~chance/teaching_aids/data/birthday.txt',as.is=1)
data[,1] <- as.Date(data[,1],format='%m/%d/%y')
plot(data,xlab='Date',ylab='Live Births',main='Live Births by Date')
# save the plot
png('dob-distribution.png',width=700)
plot(data,xlab='Date',ylab='Live Births',main='Live Births by Date')
dev.off() # write it

dgleich

# Two groups?
data[,3] <- as.factor(weekdays(data[,1]))
plot(data[,3],data[,2],main='Live Births by Day of Week')
png('dob-dayofweek.png',width=700)
plot(data[,3],data[,2],main='Live Births by Day of Week')
dev.off() # write it

dgleich

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
Google Translate API code
Based on http://code.activestate.com/recipes/576890/ but heavily modified.
"""

__author__ = 'David F. Gleich'
__version__ = 1

dgleich

#!/usr/bin/env python

"""
tweets.py
=========

Implement a cached tweet database with all the rate limiting
and message filting.

Usage

dgleich

#!/usr/bin/env python

import sys
import array
import itertools
import random

def test(memsize):
	print "allocating"
	a = array.array('d')

dgleich

Keybase proof

I hereby claim:

• I am dgleich on github.
• I am dgleich (https://keybase.io/dgleich) on keybase.
• I have a public key whose fingerprint is D734 F90F 005B 5BEB 993A EFA4 47D9 CBF5 CC13 99D7

To claim this, I am signing this object:

dgleich

#if defined(_WIN32) || defined(_WIN64)
  #pragma warning(disable:4996)
  #include <random>
  #define tr1ns std::tr1
#elif defined __GNUC__
  #define GCC_VERSION (__GNUC__ * 10000 \
                           + __GNUC_MINOR__ * 100 \
                           + __GNUC_PATCHLEVEL__)
  #if GCC_VERSION < 40300
    #include <tr1/random>

dgleich

/**
 * @file exact_modularity.cc
 * Find the cluster of largest modularity in a small graph by exhaustive
 * enumeration.
 * @author David F. Gleich
 */
 
/**
 * History
 * -------

dgleich

\documentclass[10pt]{article}
\usepackage{labels}
\usepackage{url}
\newcommand{\brk}{$\cdot$ }
%\LabelGridtrue % Enable this to 
\LabelCols=2% Number of columns of labels per page
\LabelRows=6% Number of rows of labels per page
\begin{document}
\numberoflabels=12