def Jfull(self, m, f=None):
if f is None:
f = self.fields(m)
nn = len(f) - 1
Asubs, Adiags, Bs = list(range(nn)), list(range(nn)), list(range(nn))
for ii in range(nn):
dt = self.timeSteps[ii]
bc = self.getBoundaryConditions(ii, f[ii])
Asubs[ii], Adiags[ii], Bs[ii] = self.diagsJacobian(
m, f[ii], f[ii + 1], dt, bc)
Ad = sp.block_diag(Adiags)
zRight = Utils.spzeros((len(Asubs) - 1) * Asubs[0].shape[0],
Adiags[0].shape[1])
zTop = Utils.spzeros(Adiags[0].shape[0],
len(Adiags) * Adiags[0].shape[1])
As = sp.vstack((zTop, sp.hstack((sp.block_diag(Asubs[1:]), zRight))))
A = As + Ad
B = np.array(sp.vstack(Bs).todense())
Ainv = self.Solver(A, **self.solverOpts)
P = self.survey.evalDeriv(f, m)
AinvB = Ainv * B
z = np.zeros((self.mesh.nC, B.shape[1]))
zAinvB = np.vstack((z, AinvB))
J = P * zAinvB
return J
def Jfull(self, m=None, f=None):
if f is None:
f = self.fields(m)
nn = len(f)-1
Asubs, Adiags, Bs = list(range(nn)), list(range(nn)), list(range(nn))
for ii in range(nn):
dt = self.timeSteps[ii]
bc = self.getBoundaryConditions(ii, f[ii])
Asubs[ii], Adiags[ii], Bs[ii] = self.diagsJacobian(
m, f[ii], f[ii+1], dt, bc
)
Ad = sp.block_diag(Adiags)
zRight = Utils.spzeros(
(len(Asubs)-1)*Asubs[0].shape[0], Adiags[0].shape[1]
)
zTop = Utils.spzeros(
Adiags[0].shape[0], len(Adiags)*Adiags[0].shape[1]
)
As = sp.vstack((zTop, sp.hstack((sp.block_diag(Asubs[1:]), zRight))))
A = As + Ad
B = np.array(sp.vstack(Bs).todense())
Ainv = self.Solver(A, **self.solverOpts)
AinvB = Ainv * B
z = np.zeros((self.mesh.nC, B.shape[1]))
du_dm = np.vstack((z, AinvB))
J = self.survey.deriv(f, du_dm_v=du_dm) # not multiplied by v
return J
def Dz(self):
if self.mesh.dim == 1:
Dz = self.mesh.faceDivx
elif self.mesh.dim == 2:
Dz = sp.hstack((Utils.spzeros(
self.mesh.nC, self.mesh.vnF[0]), self.mesh.faceDivy),
format='csr')
elif self.mesh.dim == 3:
Dz = sp.hstack(
(Utils.spzeros(self.mesh.nC, self.mesh.vnF[0] +
self.mesh.vnF[1]), self.mesh.faceDivz),
format='csr')
return Dz
def Dz(self):
if self.mesh.dim == 1:
return self.mesh.faceDivx
if self.mesh.dim == 2:
mats = (
Utils.spzeros(self.mesh.nC, self.mesh.vnF[0]),
self.mesh.faceDivy
)
elif self.mesh.dim == 3:
mats = (
Utils.spzeros(self.mesh.nC, self.mesh.vnF[0]+self.mesh.vnF[1]),
self.mesh.faceDivz
)
return sp.hstack(mats, format='csr')
def getInterpolationMatCartMesh(self, Mrect, locType="CC", locTypeTo=None):
"""
Takes a cartesian mesh and returns a projection to translate onto
the cartesian grid.
"""
assert self.isSymmetric, (
"Currently we have not taken into account " "other projections for more complicated " "CylMeshes"
)
if locTypeTo is None:
locTypeTo = locType
if locType == "F":
# do this three times for each component
X = self.getInterpolationMatCartMesh(Mrect, locType="Fx", locTypeTo=locTypeTo + "x")
Y = self.getInterpolationMatCartMesh(Mrect, locType="Fy", locTypeTo=locTypeTo + "y")
Z = self.getInterpolationMatCartMesh(Mrect, locType="Fz", locTypeTo=locTypeTo + "z")
return sp.vstack((X, Y, Z))
if locType == "E":
X = self.getInterpolationMatCartMesh(Mrect, locType="Ex", locTypeTo=locTypeTo + "x")
Y = self.getInterpolationMatCartMesh(Mrect, locType="Ey", locTypeTo=locTypeTo + "y")
Z = Utils.spzeros(getattr(Mrect, "n" + locTypeTo + "z"), self.nE)
return sp.vstack((X, Y, Z))
grid = getattr(Mrect, "grid" + locTypeTo)
# This is unit circle stuff, 0 to 2*pi, starting at x-axis, rotating
# counter clockwise in an x-y slice
theta = -np.arctan2(grid[:, 0] - self.cartesianOrigin[0], grid[:, 1] - self.cartesianOrigin[1]) + np.pi / 2
theta[theta < 0] += np.pi * 2.0
r = ((grid[:, 0] - self.cartesianOrigin[0]) ** 2 + (grid[:, 1] - self.cartesianOrigin[1]) ** 2) ** 0.5
if locType in ["CC", "N", "Fz", "Ez"]:
G, proj = np.c_[r, theta, grid[:, 2]], np.ones(r.size)
else:
dotMe = {
"Fx": Mrect.normals[: Mrect.nFx, :],
"Fy": Mrect.normals[Mrect.nFx : (Mrect.nFx + Mrect.nFy), :],
"Fz": Mrect.normals[-Mrect.nFz :, :],
"Ex": Mrect.tangents[: Mrect.nEx, :],
"Ey": Mrect.tangents[Mrect.nEx : (Mrect.nEx + Mrect.nEy), :],
"Ez": Mrect.tangents[-Mrect.nEz :, :],
}[locTypeTo]
if "F" in locType:
normals = np.c_[np.cos(theta), np.sin(theta), np.zeros(theta.size)]
proj = (normals * dotMe).sum(axis=1)
if "E" in locType:
tangents = np.c_[-np.sin(theta), np.cos(theta), np.zeros(theta.size)]
proj = (tangents * dotMe).sum(axis=1)
G = np.c_[r, theta, grid[:, 2]]
interpType = locType
if interpType == "Fy":
interpType = "Fx"
elif interpType == "Ex":
interpType = "Ey"
Pc2r = self.getInterpolationMat(G, interpType)
Proj = Utils.sdiag(proj)
return Proj * Pc2r
def getADeriv_sigma(self, freq, f, v, adjoint=False):
Ex = f[:self.mesh.nC]
dMcc_dsig = self.MccSigmaDeriv(Ex)
if adjoint:
return sp.hstack(
(Utils.spzeros(self.mesh.nC, self.mesh.nN), dMcc_dsig.T)) * v
else:
return np.r_[np.zeros(self.mesh.nC + 1), dMcc_dsig * v]
def getADeriv_sigma(self, freq, f, v, adjoint=False):
Ex = f[:self.mesh.nC]
dMcc_dsig = self.MccSigmaDeriv(Ex)
if adjoint:
return sp.hstack(
(Utils.spzeros(self.mesh.nC, self.mesh.nN), dMcc_dsig.T)
) * v
else:
return np.r_[np.zeros(self.mesh.nC+1), dMcc_dsig*v]
def _b_pyDeriv_u(self, src, du_dm_v, adjoint=False):
""" Derivative of b_py with wrt u
:param SimPEG.NSEM.src src: The source of the problem
:param numpy.ndarray du_dm_v: vector to take product with. Size (nF,) when adjoint=True, (nU,) when adjoint=False
:param bool adjoint: adjoint?
:rtype: numpy.ndarray
:return: The calculated derivative, size (nU,) when adjoint=True. (nF,) when adjoint=False
"""
# Primary does not depend on u
C = sp.hstack((Utils.spzeros(self.mesh.nF, self.mesh.nE), self.mesh.edgeCurl)) # This works for adjoint = None
if adjoint:
return - 1./(1j*omega(src.freq)) * (C.T * du_dm_v)
return - 1./(1j*omega(src.freq)) * (C * du_dm_v)
def _b_pyDeriv_u(self, src, du_dm_v, adjoint=False):
""" Derivative of b_py with wrt u
:param SimPEG.NSEM.src src: The source of the problem
:param numpy.ndarray du_dm_v: vector to take product with. Size (nF,) when adjoint=True, (nU,) when adjoint=False
:param bool adjoint: adjoint?
:rtype: numpy.ndarray
:return: The calculated derivative, size (nU,) when adjoint=True. (nF,) when adjoint=False
"""
# Primary does not depend on u
C = sp.hstack((Utils.spzeros(self.mesh.nF, self.mesh.nE),
self.mesh.edgeCurl)) # This works for adjoint = None
if adjoint:
return -1. / (1j * omega(src.freq)) * (C.T * du_dm_v)
return -1. / (1j * omega(src.freq)) * (C * du_dm_v)
def getInterpolationMat(self, loc, locType, zerosOutside=False):
""" Produces interpolation matrix
:param numpy.ndarray loc: Location of points to interpolate to
:param str locType: What to interpolate (see below)
:rtype: scipy.sparse.csr.csr_matrix
:return: M, the interpolation matrix
locType can be::
'Ex' -> x-component of field defined on edges
'Ey' -> y-component of field defined on edges
'Ez' -> z-component of field defined on edges
'Fx' -> x-component of field defined on faces
'Fy' -> y-component of field defined on faces
'Fz' -> z-component of field defined on faces
'N' -> scalar field defined on nodes
'CC' -> scalar field defined on cell centers
"""
if self._meshType == 'CYL' and self.isSymmetric and locType in ['Ex','Ez','Fy']:
raise Exception('Symmetric CylMesh does not support %s interpolation, as this variable does not exist.' % locType)
loc = Utils.asArray_N_x_Dim(loc, self.dim)
if zerosOutside is False:
assert np.all(self.isInside(loc)), "Points outside of mesh"
else:
indZeros = np.logical_not(self.isInside(loc))
loc[indZeros, :] = np.array([v.mean() for v in self.getTensor('CC')])
if locType in ['Fx','Fy','Fz','Ex','Ey','Ez']:
ind = {'x':0, 'y':1, 'z':2}[locType[1]]
assert self.dim >= ind, 'mesh is not high enough dimension.'
nF_nE = self.vnF if 'F' in locType else self.vnE
components = [Utils.spzeros(loc.shape[0], n) for n in nF_nE]
components[ind] = Utils.interpmat(loc, *self.getTensor(locType))
# remove any zero blocks (hstack complains)
components = [comp for comp in components if comp.shape[1] > 0]
Q = sp.hstack(components)
elif locType in ['CC', 'N']:
Q = Utils.interpmat(loc, *self.getTensor(locType))
else:
raise NotImplementedError('getInterpolationMat: locType=='+locType+' and mesh.dim=='+str(self.dim))
if zerosOutside:
Q[indZeros, :] = 0
return Q.tocsr()
def getInterpolationMat(self, loc, locType='CC', zerosOutside=False):
""" Produces interpolation matrix
:param numpy.ndarray loc: Location of points to interpolate to
:param str locType: What to interpolate (see below)
:rtype: scipy.sparse.csr_matrix
:return: M, the interpolation matrix
locType can be::
'Ex' -> x-component of field defined on edges
'Ey' -> y-component of field defined on edges
'Ez' -> z-component of field defined on edges
'Fx' -> x-component of field defined on faces
'Fy' -> y-component of field defined on faces
'Fz' -> z-component of field defined on faces
'N' -> scalar field defined on nodes
'CC' -> scalar field defined on cell centers
'CCVx' -> x-component of vector field defined on cell centers
'CCVy' -> y-component of vector field defined on cell centers
'CCVz' -> z-component of vector field defined on cell centers
"""
if self.isSymmetric and locType in ['Ex', 'Ez', 'Fy']:
raise Exception(
"Symmetric CylMesh does not support {0!s} interpolation, "
"as this variable does not exist.".format(locType)
)
if locType in ['CCVx', 'CCVy', 'CCVz']:
Q = Utils.interpmat(loc, *self.getTensor('CC'))
Z = Utils.spzeros(loc.shape[0], self.nC)
if locType == 'CCVx':
Q = sp.hstack([Q, Z])
elif locType == 'CCVy':
Q = sp.hstack([Q])
elif locType == 'CCVz':
Q = sp.hstack([Z, Q])
if zerosOutside:
Q[indZeros, :] = 0
return Q.tocsr()
return self._getInterpolationMat(loc, locType, zerosOutside)
def getInterpolationMat(self, loc, locType='CC', zerosOutside=False):
""" Produces interpolation matrix
:param numpy.ndarray loc: Location of points to interpolate to
:param str locType: What to interpolate (see below)
:rtype: scipy.sparse.csr.csr_matrix
:return: M, the interpolation matrix
locType can be::
'Ex' -> x-component of field defined on edges
'Ey' -> y-component of field defined on edges
'Ez' -> z-component of field defined on edges
'Fx' -> x-component of field defined on faces
'Fy' -> y-component of field defined on faces
'Fz' -> z-component of field defined on faces
'N' -> scalar field defined on nodes
'CC' -> scalar field defined on cell centers
'CCVx' -> x-component of vector field defined on cell centers
'CCVy' -> y-component of vector field defined on cell centers
'CCVz' -> z-component of vector field defined on cell centers
"""
if self._meshType == 'CYL' and self.isSymmetric and locType in [
'Ex', 'Ez', 'Fy'
]:
raise Exception(
'Symmetric CylMesh does not support %s interpolation, as this variable does not exist.'
% locType)
loc = Utils.asArray_N_x_Dim(loc, self.dim)
if zerosOutside is False:
assert np.all(self.isInside(loc)), "Points outside of mesh"
else:
indZeros = np.logical_not(self.isInside(loc))
loc[indZeros, :] = np.array(
[v.mean() for v in self.getTensor('CC')])
if locType in ['Fx', 'Fy', 'Fz', 'Ex', 'Ey', 'Ez']:
ind = {'x': 0, 'y': 1, 'z': 2}[locType[1]]
assert self.dim >= ind, 'mesh is not high enough dimension.'
nF_nE = self.vnF if 'F' in locType else self.vnE
components = [Utils.spzeros(loc.shape[0], n) for n in nF_nE]
components[ind] = Utils.interpmat(loc, *self.getTensor(locType))
# remove any zero blocks (hstack complains)
components = [comp for comp in components if comp.shape[1] > 0]
Q = sp.hstack(components)
elif locType in ['CC', 'N']:
Q = Utils.interpmat(loc, *self.getTensor(locType))
elif locType in ['CCVx', 'CCVy', 'CCVz']:
Q = Utils.interpmat(loc, *self.getTensor('CC'))
Z = Utils.spzeros(loc.shape[0], self.nC)
if locType == 'CCVx':
Q = sp.hstack([Q, Z, Z])
elif locType == 'CCVy':
Q = sp.hstack([Z, Q, Z])
elif locType == 'CCVz':
Q = sp.hstack([Z, Z, Q])
else:
raise NotImplementedError('getInterpolationMat: locType==' +
locType + ' and mesh.dim==' +
str(self.dim))
if zerosOutside:
Q[indZeros, :] = 0
return Q.tocsr()
def getInterpolationMatCartMesh(self, Mrect, locType='CC', locTypeTo=None):
"""
Takes a cartesian mesh and returns a projection to translate onto
the cartesian grid.
"""
assert self.isSymmetric, ("Currently we have not taken into account "
"other projections for more complicated "
"CylMeshes")
if locTypeTo is None:
locTypeTo = locType
if locType == 'F':
# do this three times for each component
X = self.getInterpolationMatCartMesh(Mrect, locType='Fx',
locTypeTo=locTypeTo+'x')
Y = self.getInterpolationMatCartMesh(Mrect, locType='Fy',
locTypeTo=locTypeTo+'y')
Z = self.getInterpolationMatCartMesh(Mrect, locType='Fz',
locTypeTo=locTypeTo+'z')
return sp.vstack((X, Y, Z))
if locType == 'E':
X = self.getInterpolationMatCartMesh(Mrect, locType='Ex',
locTypeTo=locTypeTo+'x')
Y = self.getInterpolationMatCartMesh(Mrect, locType='Ey',
locTypeTo=locTypeTo+'y')
Z = Utils.spzeros(getattr(Mrect, 'n' + locTypeTo + 'z'), self.nE)
return sp.vstack((X, Y, Z))
grid = getattr(Mrect, 'grid' + locTypeTo)
# This is unit circle stuff, 0 to 2*pi, starting at x-axis, rotating
# counter clockwise in an x-y slice
theta = - np.arctan2(grid[:, 0] - self.cartesianOrigin[0], grid[:, 1] -
self.cartesianOrigin[1]) + np.pi/2
theta[theta < 0] += np.pi*2.0
r = ((grid[:, 0] - self.cartesianOrigin[0])**2 + (grid[:, 1] -
self.cartesianOrigin[1])**2)**0.5
if locType in ['CC', 'N', 'Fz', 'Ez']:
G, proj = np.c_[r, theta, grid[:, 2]], np.ones(r.size)
else:
dotMe = {
'Fx': Mrect.normals[:Mrect.nFx, :],
'Fy': Mrect.normals[Mrect.nFx:(Mrect.nFx + Mrect.nFy),
:],
'Fz': Mrect.normals[-Mrect.nFz:, :],
'Ex': Mrect.tangents[:Mrect.nEx, :],
'Ey': Mrect.tangents[Mrect.nEx:(Mrect.nEx+Mrect.nEy),
:],
'Ez': Mrect.tangents[-Mrect.nEz:, :],
}[locTypeTo]
if 'F' in locType:
normals = np.c_[np.cos(theta), np.sin(theta),
np.zeros(theta.size)]
proj = (normals * dotMe).sum(axis=1)
if 'E' in locType:
tangents = np.c_[-np.sin(theta), np.cos(theta),
np.zeros(theta.size)]
proj = (tangents * dotMe).sum(axis=1)
G = np.c_[r, theta, grid[:, 2]]
interpType = locType
if interpType == 'Fy':
interpType = 'Fx'
elif interpType == 'Ex':
interpType = 'Ey'
Pc2r = self.getInterpolationMat(G, interpType)
Proj = Utils.sdiag(proj)
return Proj * Pc2r
def getInterpolationMat(self, loc, locType="CC", zerosOutside=False):
""" Produces interpolation matrix
:param numpy.ndarray loc: Location of points to interpolate to
:param str locType: What to interpolate (see below)
:rtype: scipy.sparse.csr_matrix
:return: M, the interpolation matrix
locType can be::
'Ex' -> x-component of field defined on edges
'Ey' -> y-component of field defined on edges
'Ez' -> z-component of field defined on edges
'Fx' -> x-component of field defined on faces
'Fy' -> y-component of field defined on faces
'Fz' -> z-component of field defined on faces
'N' -> scalar field defined on nodes
'CC' -> scalar field defined on cell centers
'CCVx' -> x-component of vector field defined on cell centers
'CCVy' -> y-component of vector field defined on cell centers
'CCVz' -> z-component of vector field defined on cell centers
"""
if self._meshType == "CYL" and self.isSymmetric and locType in ["Ex", "Ez", "Fy"]:
raise Exception(
"Symmetric CylMesh does not support {0!s} interpolation, as this variable does not exist.".format(
locType
)
)
loc = Utils.asArray_N_x_Dim(loc, self.dim)
if zerosOutside is False:
assert np.all(self.isInside(loc)), "Points outside of mesh"
else:
indZeros = np.logical_not(self.isInside(loc))
loc[indZeros, :] = np.array([v.mean() for v in self.getTensor("CC")])
if locType in ["Fx", "Fy", "Fz", "Ex", "Ey", "Ez"]:
ind = {"x": 0, "y": 1, "z": 2}[locType[1]]
assert self.dim >= ind, "mesh is not high enough dimension."
nF_nE = self.vnF if "F" in locType else self.vnE
components = [Utils.spzeros(loc.shape[0], n) for n in nF_nE]
components[ind] = Utils.interpmat(loc, *self.getTensor(locType))
# remove any zero blocks (hstack complains)
components = [comp for comp in components if comp.shape[1] > 0]
Q = sp.hstack(components)
elif locType in ["CC", "N"]:
Q = Utils.interpmat(loc, *self.getTensor(locType))
elif locType in ["CCVx", "CCVy", "CCVz"]:
Q = Utils.interpmat(loc, *self.getTensor("CC"))
Z = Utils.spzeros(loc.shape[0], self.nC)
if locType == "CCVx":
Q = sp.hstack([Q, Z, Z])
elif locType == "CCVy":
Q = sp.hstack([Z, Q, Z])
elif locType == "CCVz":
Q = sp.hstack([Z, Z, Q])
else:
raise NotImplementedError("getInterpolationMat: locType==" + locType + " and mesh.dim==" + str(self.dim))
if zerosOutside:
Q[indZeros, :] = 0
return Q.tocsr()
def _b_pySecondaryDeriv_u(self, src, v, adjoint=False):
# C = sp.kron(self.mesh.edgeCurl,[[0,0],[0,1]])
C = sp.hstack((Utils.spzeros(self.mesh.nF, self.mesh.nE), self.mesh.edgeCurl)) # This works for adjoint = None
if adjoint:
return -1.0 / (1j * omega(src.freq)) * (C.T * v)
return -1.0 / (1j * omega(src.freq)) * (C * v)
def _b_pySecondaryDeriv_u(self, src, v, adjoint = False):
# C = sp.kron(self.mesh.edgeCurl,[[0,0],[0,1]])
C = sp.hstack((Utils.spzeros(self.mesh.nF,self.mesh.nE),self.mesh.edgeCurl)) # This works for adjoint = None
if adjoint:
return - 1./(1j*omega(src.freq)) * (C.T * v)
return - 1./(1j*omega(src.freq)) * (C * v)
