Thomas Wimmer twmr

## sphere.pkl

      
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                twmr
                / sphere.pkl
            
            
              Last active
              March 9, 2016 09:44
            
              
                standalone maxwell bem test
              
          
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## sympy_spherical_hankel.ipynb

      
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                twmr
                / sympy_spherical_hankel.ipynb
            
            
              Created
              September 19, 2015 12:05
            
          
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## bem_sphere_integral_etheta.py
from __future__ import print_function
from bempp.lib import *
import numpy as np


def eval_neumann_data(point, normal, k):
    x, y, z = point
    r = np.sqrt(x**2 + y**2 + z**2)
    rho = np.sqrt(x**2 + y**2)
    # sintheta = rho/r

## herlmholtz3dbempp.py
import os
import sys
import pickle

import numpy as np
import scipy
import scipy.special

legendre = scipy.special.eval_legendre

## helmholtz3dbempp.py
import os
import sys

import numpy as np
import scipy
import scipy.special

legendre = scipy.special.eval_legendre


## axes_with_table_problem.py
#!/usr/bin/env python

from collections import OrderedDict

import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.table import table

fig = plt.figure()

## axes_with_table.py
#!/usr/bin/env python

from collections import OrderedDict

import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.table import table

fig = plt.figure()

## redgreenunittest.py
"""colorized unittest output

taken from https://github.com/stevematney/redgreenunittests
"""

import sys

from pygments import highlight
from pygments.lexers import PythonTracebackLexer
from pygments.formatters import TerminalFormatter
	from __future__ import print_function
	from bempp.lib import *
	import numpy as np


	def eval_neumann_data(point, normal, k):
	x, y, z = point
	r = np.sqrt(x2 + y2 + z**2)
	rho = np.sqrt(x2 + y2)
	# sintheta = rho/r
	import os
	import sys
	import pickle

	import numpy as np
	import scipy
	import scipy.special

	legendre = scipy.special.eval_legendre
	#!/usr/bin/env python

	from collections import OrderedDict

	import matplotlib.pyplot as plt
	import numpy as np
	from mpl_toolkits.axes_grid1 import make_axes_locatable
	from matplotlib.table import table

	fig = plt.figure()
	"""colorized unittest output

	taken from https://github.com/stevematney/redgreenunittests
	"""

	import sys

	from pygments import highlight
	from pygments.lexers import PythonTracebackLexer
	from pygments.formatters import TerminalFormatter