h0 = 0.25 # coarsest mesh size
p = 1 # polynomial degree
if example[3:] == 'triangular':
mesh = ngs.Mesh(unit_square.GenerateMesh(maxh=h0))
elif example[3:] == 'rectangular':
mesh = ngs.Mesh(unit_square.GenerateMesh(maxh=h0,
quad_dominated=True))
q_zero = 'bottom' # mesh boundary parts where q = 0,
mu_zero = 'bottom|right|left' # where mu = 0.
x = ngs.x
t = ngs.y
cwave = 1
f = 2*pi*pi*sin(pi*x)*cos(2*pi*t) + pi*pi*sin(pi*x)*sin(pi*t)*sin(pi*t)
F = CoefficientFunction((0, f))
exactu = CoefficientFunction((pi*cos(pi*x)*sin(pi*t)*sin(pi*t),
pi*sin(pi*x)*sin(2*pi*t)))
hs = []
er = []
for l in range(maxr):
h = h0 * 2**(-l)
hs.append(h)
e, *rest = solvewavedirect(mesh, p, F, q_zero, mu_zero, cwave, exactu)
# e, *rest = solvewave(mesh, p, F, q_zero, mu_zero, cwave, exactu)
er.append(e)
mesh.Refine()
print_rates(er, hs)
input("x-periodic quad mesh -- press any key to continue -- ")
mesh = MakeStructured2DMesh(quads=False,
nx=16,
ny=4,
periodic_x=False,
periodic_y=True)
Draw(mesh)
input("y-periodic non-uniform trig mesh -- press any key to continue -- ")
mesh = MakeStructured2DMesh(quads=True,
nx=32,
ny=16,
mapping=lambda x, y:
((1.1 + sin(pi * (y - 0.5))) * sin(pi * x),
(1.1 + sin(pi * (y - 0.5))) * cos(pi * x)))
Draw(mesh)
input(
"structured quad half circle with a whole -- press any key to continue -- "
)
mesh = MakeHexMesh(nx=8)
Draw(mesh)
input("simple cube mesh -- press any key to continue -- ")
mesh = MakeHexMesh(nx=8, periodic_x=True, periodic_y=True, periodic_z=True)
Draw(mesh)
input("periodic cube mesh -- press any key to continue -- ")
mesh = MakeStructured3DMesh(hexes=False,
nx=3,
def solve(self):
# disable garbage collector
# --------------------------------------------------------------------#
gc.disable()
while(gc.isenabled()):
time.sleep(0.1)
# --------------------------------------------------------------------#
# measure how much memory is used until here
process = psutil.Process()
memstart = process.memory_info().vms
# starts timer
tstart = time.time()
if self.show_gui:
import netgen.gui
# create mesh with initial size 0.1
geo = geom2d.SplineGeometry()
p1 = geo.AppendPoint (-2,-2)
p2 = geo.AppendPoint (2,-2)
p3 = geo.AppendPoint (2,2)
p4 = geo.AppendPoint (-2,2)
geo.Append (["line", p1, p2])
geo.Append (["line", p2, p3])
geo.Append (["line", p3, p4])
geo.Append (["line", p4, p1])
self._mesh = ngs.Mesh(geo.GenerateMesh(maxh=0.1))
#create finite element space
self._fes = ngs.H1(self._mesh, order=2, dirichlet=".*", autoupdate=True)
# test and trail function
u = self._fes.TrialFunction()
v = self._fes.TestFunction()
# create bilinear form and enable static condensation
self._a = ngs.BilinearForm(self._fes, condense=True)
self._a += ngs.grad(u)*ngs.grad(v)*ngs.dx
# creat linear functional and apply RHS
self._f = ngs.LinearForm(self._fes)
self._f += - ( \
2*ngs.exp(-2 * (ngs.x**2 + ngs.y**2))*(2 * ngs.sin(-2 * (ngs.x**2 + ngs.y**2)) + 2 * (1-8 * ngs.x**2)*ngs.cos(-2 * (ngs.x**2 + ngs.y**2))) + \
2*ngs.exp(-2 * (ngs.x**2 + ngs.y**2))*(2 * ngs.sin(-2 * (ngs.x**2 + ngs.y**2)) + 2 * (1-8 * ngs.y**2)*ngs.cos(-2 * (ngs.x**2 + ngs.y**2))) + \
2*ngs.exp(-1 * (ngs.x**2 + ngs.y**2))*(1 * ngs.sin(-1 * (ngs.x**2 + ngs.y**2)) + 1 * (1-4 * ngs.x**2)*ngs.cos(-1 * (ngs.x**2 + ngs.y**2))) + \
2*ngs.exp(-1 * (ngs.x**2 + ngs.y**2))*(1 * ngs.sin(-1 * (ngs.x**2 + ngs.y**2)) + 1 * (1-4 * ngs.y**2)*ngs.cos(-1 * (ngs.x**2 + ngs.y**2))) + \
2*ngs.exp(-0.1*(ngs.x**2 + ngs.y**2))*(0.1*ngs.sin(-0.1*(ngs.x**2 + ngs.y**2)) + 0.1*(1-0.4*ngs.x**2)*ngs.cos(-0.1*(ngs.x**2 + ngs.y**2))) + \
2*ngs.exp(-0.1*(ngs.x**2 + ngs.y**2))*(0.1*ngs.sin(-0.1*(ngs.x**2 + ngs.y**2)) + 0.1*(1-0.4*ngs.y**2)*ngs.cos(-0.1*(ngs.x**2 + ngs.y**2)))
)*v*ngs.dx
# preconditioner: multigrid - what prerequisits must the problem have?
self._c = ngs.Preconditioner(self._a,"multigrid")
# create grid function that holds the solution and set the boundary to 0
self._gfu = ngs.GridFunction(self._fes, autoupdate=True) # solution
self._g = self._ngs_ex
self._gfu.Set(self._g, definedon=self._mesh.Boundaries(".*"))
# draw grid function in gui
if self.show_gui:
ngs.Draw(self._gfu)
# create Hcurl space for flux calculation and estimate error
self._space_flux = ngs.HDiv(self._mesh, order=2, autoupdate=True)
self._gf_flux = ngs.GridFunction(self._space_flux, "flux", autoupdate=True)
# TaskManager starts threads that (standard thread nr is numer of cores)
#with ngs.TaskManager():
# this is the adaptive loop
while self._fes.ndof < self.max_ndof:
self._solveStep()
self._estimateError()
self._mesh.Refine()
# since the adaptive loop stopped with a mesh refinement, the gfu must be
# calculated one last time
self._solveStep()
if self.show_gui:
ngs.Draw(self._gfu)
# set measured exectution time
self._exec_time = time.time() - tstart
# set measured used memory
memstop = process.memory_info().vms - memstart
self._mem_consumption = memstop
# enable garbage collector
# --------------------------------------------------------------------#
gc.enable()
gc.collect()
u = ngs.GridFunction(fem_space)
u.vec.FV().NumPy()[:] = np.array(soln_fem.real, dtype=np.float_)
#u_im=dolfin.Function(fenics_space)
#u_im.vector()[:]=np.array(soln_fem.imag,dtype=np.float_)
bem_soln = bempp.api.GridFunction(bc_space, coefficients=soln_bem)
ns.append(fem_size)
actual0 = bempp.api.GridFunction(bc_space, fun=zero)
errs.append((actual0 - bem_soln).l2_norm())
actual_u = ngs.CoefficientFunction((ngs.cos(k * ngs.z), 0, 0))
actual_curl_u = ngs.CoefficientFunction((0, -k * ngs.sin(k * ngs.z), 0))
actual_sol = np.concatenate([soln_fem, soln_bem])
from math import sqrt
u_H1 = sqrt(
abs(
ngs.Integrate((actual_u - u) * (actual_u - u) +
(actual_curl_u - u.Deriv())**2,
mesh,
order=10)))
err2s.append(u_H1)
print("ns: ", ns)
print("Hcurl error:", err2s)
h0 = 0.25 # coarsest mesh size
p = 1 # polynomial degree
if example[3:] == 'triangular':
mesh = ngs.Mesh(unit_square.GenerateMesh(maxh=h0))
elif example[3:] == 'rectangular':
mesh = ngs.Mesh(
unit_square.GenerateMesh(maxh=h0, quad_dominated=True))
q_zero = 'bottom' # mesh boundary parts where q = 0,
mu_zero = 'bottom|right|left' # where mu = 0.
x = ngs.x
t = ngs.y
cwave = 1
f = 2 * pi * pi * sin(pi * x) * cos(2 * pi * t) + pi * pi * sin(
pi * x) * sin(pi * t) * sin(pi * t)
F = CoefficientFunction((0, f))
exactu = CoefficientFunction(
(pi * cos(pi * x) * sin(pi * t) * sin(pi * t),
pi * sin(pi * x) * sin(2 * pi * t)))
hs = []
er = []
for l in range(maxr):
h = h0 * 2**(-l)
hs.append(h)
e, *rest = solvewavedirect(mesh, p, F, q_zero, mu_zero, cwave,
exactu)
# e, *rest = solvewave(mesh, p, F, q_zero, mu_zero, cwave, exactu)
er.append(e)
