jiahao

#Set up data partition
sudo mkdir /data
sudo chmod 777 /data
sudo "echo /dev/xvdb   /data	ext4	rw,user,exec,comment=cloudconfig	0	2 >> /etc/fstab"
sudo mount /data

#Install build environment
sudo sed -i "s/enabled=0/enabled=1" /etc/yum.repos.d/epel.epo
sudo yum -y update
sudo yum -y upgrade

jiahao

import Base.fetch; fetch(t::Vector) = [fetch(tt) for tt in t]
import Base.length; length(r1::RemoteRef)=length(fetch(r1))
addprocs(8-nprocs()) #Run on 8 processors

chunkrange(i, nc) = floor((i-1)*nc)+1:floor(i*nc)
function chunk(z, n)
    nc = length(z)/n
    y = Vector{typeof(z[1])}[]
    for i=1:n #Number of chunks
        push!(y, (typeof(z[1]))[])

jiahao

Process:         julia-readline [12132]
Path:            /Users/USER/*/julia-readline
Identifier:      julia-readline
Version:         ???
Code Type:       X86-64 (Native)
Parent Process:  Vim [11995]
Responsible:     MacVim [11340]
User ID:         502

Date/Time:       2013-10-28 23:52:40.788 -0400

jiahao

# Hypergeometric random variate generators
#
# (c) 2013 Jiahao Chen <[email protected]>
#
# This file implements several random variate generators as described in the
# reference paper.
#
# Algorithm   Function
# HBU         randhg_hbu
# HIN         randhg_hin

jiahao

using Distributions

export Measure, DiscreteMeasure, Estimator, EstimatorQuality,
       blb, randsubset

abstract Measure

type DiscreteMeasure{S<:Number,T<:Number} <: Measure
  points :: Vector{S}
  weights :: Vector{T}

jiahao

1. Log on to the WebMoira interface. You will need your MIT personal certificate set up correctly.
2. Click this button.
3. Enjoy.

jiahao

#!/usr/bin/env python

'''
Pure Python implementation of some numerical optimizers

Created on Jan 21, 2011

@author Jiahao Chen
'''