Konrad Kollnig kasnder

## nmsmax.jl
"""
    nmsmax(fun, x[, trace = true, initial_simplex = 0, target_f = Inf, max_its = Inf, max_evals = Inf, tol = 1e-3])

Nelder-Mead simplex method for direct search optimization.

This function attempts to maximize the function `fun`, using the
starting vector `x`. The Nelder-Mead direct search method is used.

Adaption of the original *MATLAB* source by Nick Higham to *Julia*.

## landgericht_aachen_downloader.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import urllib2
import locale
import csv, codecs, cStringIO
from pprint import pprint
import time
from BeautifulSoup import BeautifulSoup

# From the Pyton documentation
	"""
	nmsmax(fun, x[, trace = true, initial_simplex = 0, target_f = Inf, max_its = Inf, max_evals = Inf, tol = 1e-3])

	Nelder-Mead simplex method for direct search optimization.

	This function attempts to maximize the function `fun`, using the
	starting vector `x`. The Nelder-Mead direct search method is used.

	Adaption of the original MATLAB source by Nick Higham to Julia.
	#!/usr/bin/env python
	# -- coding: utf-8 --
	import urllib2
	import locale
	import csv, codecs, cStringIO
	from pprint import pprint
	import time
	from BeautifulSoup import BeautifulSoup

	# From the Pyton documentation