def evaluate_potential(self,wave_number,density):
if self._evaluation_options is None:
raise Exception("Error. 'evaluation_options' must be defined")
if self._evaluation_quadrature_strategy is None:
raise Exception("Error. 'evaluation_quadrature_options' must be defined")
op_found_in_cache = False
if self._operator_cache:
try:
potential = self._potential_operator_cache.get(wave_number)
op_found_in_cache = True
except:
pass
if not op_found_in_cache:
potential = _bempplib.createMaxwell3dSingleLayerPotentialOperator(self._context,1.0j*wave_number).assemble(self._space,
self._evaluation_points,
self._evaluation_quadrature_strategy,
self._evaluation_options)
if self._operator_cache: self._potential_operator_cache.insert(wave_number,potential)
n = len(density[0])
gridFun = _bempplib.createGridFunction(self._context,self._space,coefficients=density[0])
return potential.apply(gridFun)
def evaluate_potential(self,wave_number,density):
if self._evaluation_options is None:
raise Exception("Error. 'evaluation_options' must be defined")
if self._evaluation_quadrature_strategy is None:
raise Exception("Error. 'evaluation_quadrature_options' must be defined")
op_found_in_cache = False
if self._operator_cache:
try:
pot_ext_single,pot_ext_double,pot_int_single,pot_int_double = self._potential_operator_cache.get(wave_number)
op_found_in_cache = True
except:
pass
if not op_found_in_cache:
k_ext = 1.0j*wave_number * _np.sqrt(self._eps_ext * self._mu_ext)
k_int = 1.0j*wave_number * _np.sqrt(self._eps_int * self._mu_int)
rho = (k_int * self._mu_ext) / (k_ext * self._mu_int)
pot_ext_single = _bempplib.createMaxwell3dSingleLayerPotentialOperator(self._context,k_ext).assemble(self._space,
self._evaluation_points[:,self._outside],
self._evaluation_quadrature_strategy,
self._evaluation_options)
pot_ext_double = _bempplib.createMaxwell3dDoubleLayerPotentialOperator(self._context,k_ext).assemble(self._space,
self._evaluation_points[:,self._outside],
self._evaluation_quadrature_strategy,
self._evaluation_options)
pot_int_single = _bempplib.createMaxwell3dSingleLayerPotentialOperator(self._context,k_int).assemble(self._space,
self._evaluation_points[:,self._inside],
self._evaluation_quadrature_strategy,
self._evaluation_options)
pot_int_double = _bempplib.createMaxwell3dDoubleLayerPotentialOperator(self._context,k_int).assemble(self._space,
self._evaluation_points[:,self._inside],
self._evaluation_quadrature_strategy,
self._evaluation_options)
if self._operator_cache: self._potential_operator_cache.insert(wave_number,pot_int_single,pot_int_double,
pot_ext_single,pot_ext_double)
dirichlet_ext = density[0]
dirichlet_int = dirichlet_ext
neumann_ext = density[1]
neumann_int = density[1]/rho
dirichlet_ext_fun = _bempplib.createGridFunction(self._context,self._space,self._space,coefficients=dirichlet_ext)
dirichlet_int_fun = _bempplib.createGridFunction(self._context,self._space,self._space,coefficients=dirichlet_int)
neumann_ext_fun = _bempplib.createGridFunction(self._context,self._space,self._space,coefficients=neumann_ext)
neumann_int_fun = _bempplib.createGridFunction(self._context,self._space,self._space,coefficients=neumann_int)
scatt_dirichlet_ext_fun = dirichlet_ext_fun - self._inc_dirichlet_traces[wave_number]
print "Eval Dirichlet Error "+str(scatt_dirichlet_ext_fun.L2Norm()/dirichlet_ext_fun.L2Norm())
scatt_neumann_ext_fun = neumann_ext_fun - self._inc_neumann_traces[wave_number]
print "Eval Neumann Error "+str(scatt_neumann_ext_fun.L2Norm()/dirichlet_ext_fun.L2Norm())
valsExt = pot_ext_single.apply(scatt_neumann_ext_fun) + pot_ext_double.apply(scatt_dirichlet_ext_fun)
valsInt = pot_int_single.apply(neumann_int_fun) + pot_int_double.apply(dirichlet_int_fun)
vals = _np.zeros((3,self._evaluation_points.shape[1]), dtype='complex128')
vals[:,self._inside] = valsInt
vals[:,self._outside] = valsExt
return vals