Sf=Sf)
#%% Lax-Friedrich scheme not working...
t, Xl, Yl, Hl, Q1l, Q2l = dressler.solvePDE('lf')
#%%
t, Xr, Yr, Hr, Q1r, Q2r = dressler.solvePDE('rs')
#%%
n = 5
plot3D(Xl, Yl, Hl[n])
#%%
#plot2D(x, t, H[1])
n = -1
plot2D(Xr, Yr, Hr[n])
#%%
n = -1
plot3D(Xr, Yr, Hr[n])
#%%
quiver(Xr, Yr, Q1r[n], Q2r[n])
#%%Save data
DIR = 'data/3/3/' # Directory name
pathlib.Path(DIR).mkdir(parents=True, exist_ok=True) # Create Folder
#%% Save experiment n = {0, 125, 250, 375, -1}
M, N = Hr[0].shape
ymin = 0
ymax = 1
dx = (xmax-xmin)/(nx-1)
dy = (ymax-ymin)/(ny-1)
p = numpy.zeros((ny,nx))
pd = numpy.zeros((ny,nx))
b = numpy.zeros((ny,nx))
x = numpy.linspace(xmin,xmax,nx)
y = numpy.linspace(ymin,ymax,ny)
b[int(ny/4),int(nx/4)] = 100
b[int(3*ny/4),int(3*nx/4)] = -100
plot2D(x, y, b)
def poisson(l1norm_target):
l1norm = 1
it = 0
while l1norm>l1norm_target:
pd = p.copy()
p[1:-1,1:-1] = ((pd[1:-1,2:]+pd[1:-1,0:-2])*(dy**2) + (pd[2:,1:-1]+pd[0:-2,1:-1])*(dx**2) -
b[1:-1,1:-1]*(dx**2)*(dy**2))/(2*((dx**2)+(dy**2)))
p[0,:] = 0
p[-1,:] = 0
p[:,0] = 0
p[:,-1] = 0
if numpy.sum(numpy.abs(pd[:])) != 0:
l1norm = numpy.sum(numpy.abs(p[:])-numpy.abs(pd[:]))/numpy.sum(numpy.abs(pd[:]))
it = it + 1
t_i, t_f = 0, 40 Nx = 201 Nt = 201 x = np.linspace(x_i, x_f, Nx) t = np.linspace(t_i, t_f, Nt) X, T = np.meshgrid(x, t) #%% Ritter HR = h(X, T) UR = u(X, T) #%% Initial condition plot1D(x, HR[-1]) #%% Evolution plot2D(x, t, HR) #%% 3D plot3D(X, T, HR) #%% Initial condition plot1D(x, UR[0]) #%% Evolution plot2D(x, t, UR) #%% 3D plot3D(X, T, UR) #%% Numerical Ritter h_0 = 40
def OnPlot2D(self, event):
if (not self.IsXmlRead):
wx.MessageBox("No xml file loaded!",
"Warning!", wx.OK | wx.ICON_EXCLAMATION, self)
return
try:
# Create the Plot1D Dialog and get the x0,e1,nx values
dlg = Plot2DDialog()
result = dlg.ShowModal()
dlg.Destroy()
if result == wx.ID_OK:
selection = int(dlg.radiobox.GetSelection())
x0 = np.array([float(dlg.x0_0.GetValue()), float(dlg.x0_1.GetValue()), float(dlg.x0_2.GetValue())])
e1 = np.array([float(dlg.e1_0.GetValue()), float(dlg.e1_1.GetValue()),float(dlg.e1_2.GetValue())])
nx = int(dlg.nx.GetValue())
e2 = np.array([float(dlg.e2_0.GetValue()), float(dlg.e2_1.GetValue()),float(dlg.e2_2.GetValue())])
ny = int(dlg.ny.GetValue())
dlg.Destroy()
# Compute the G vectors if needed
self.SetStatusText("Generating the g vectors...")
try:
self.G
except:
self.G, discard = compute_Gs(self.b,self.charge.shape,self.ecutrho,self.alat)
if (selection==0):
try:
toplot = self.charge
except:
wx.MessageBox("No charge file loaded!",
"Warning!", wx.OK | wx.ICON_EXCLAMATION, self)
return
elif (selection==1):
try:
toplot = self.v_bare
except:
wx.MessageBox("No Vbare calculated!",
"Warning!", wx.OK | wx.ICON_EXCLAMATION, self)
return
elif (selection==2):
try:
toplot = self.v_bare + self.v_h
except:
wx.MessageBox("No Vbare+VH calculated!",
"Warning!", wx.OK | wx.ICON_EXCLAMATION, self)
return
elif (selection==3):
try:
toplot = self.v_bare + self.v_h + self.v_xc
except:
wx.MessageBox("No Vbare+VH calculated!",
"Warning!", wx.OK | wx.ICON_EXCLAMATION, self)
return
self.SetStatusText("Plotting...")
self.plot2D = plot2D(toplot,self.G,self.a,x0,e1,e2,nx,ny,selection)
self.plot2D.show()
self.SetStatusText("Plotting... done!")
except:
wx.MessageBox("Something wrong while plotting the charge...",
"", wx.OK | wx.ICON_EXCLAMATION, self)
self.SetStatusText("")
if (pars.iplot==1): # Read the charge and write it in filpl
x0 = [pars.x0_1,pars.x0_2,pars.x0_3]
e1 = [pars.e1_1,pars.e1_2,pars.e1_3]
nx = pars.nx
G = compute_G(b,charge.shape,ecutrho,alat)
fig = plot1D(charge,G,a,x0,e1,nx)
fig.show()
elif (pars.iplot==2):
x0 = [pars.x0_1,pars.x0_2,pars.x0_3]
e1 = [pars.e1_1,pars.e1_2,pars.e1_3]
nx = pars.nx
e2 = [pars.e2_1,pars.e2_2,pars.e2_3]
ny = pars.ny
G = compute_G(b,charge.shape,ecutrho,alat)
fig = plot2D(charge,G,a,x0,e1,e2,nx,ny)
fig.show()
else:
print ("Not implemented yet.")
end_time = time.time()
elapsed_time = end_time - start_time
print ("Finished. Elapsed time: "+str(elapsed_time)+" s.")
input("Enter to exit")
#%% Plot exp 3 plot1D(t3, H3[:, Ny // 2, Nx // 2]) #%% Exp 4 exp.H = 2 t4, X4, Y4, H4, U4, V4 = exp.solvePDE() #%% Plot exp 1 plot1D(t4, H4[:, Ny // 2, Nx // 2]) #%% # for k in range(len(t1)): # if k % 100 == 0: k = -1 plot2D(X1, Y1, H1[k]) #%% plot3D(X1, Y1, H1[40]) #%% N = 500 x = np.linspace(0, xf, N) t = np.linspace(0, tf, N) l = .475 T = .115 #1.055 k = 2 * np.pi / l w = 2 * np.pi / T eta = 1 + airy(0.5, t, .2, k, w) T2 = .05
