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- changed H implementation to primary secondary for a dipole source (much faster)

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- removed extra MeMui matrix floating around in the B implementation
- changed tests so that we do not cross-check the z-components, as this doesn't make sense for the primary secondary approach if we don't add back the primary
This commit is contained in:
Lindsey
2015-02-27 18:43:47 -08:00
parent 84fedcf2a7
commit 62b4edcf6d
2 changed files with 52 additions and 53 deletions
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simpegEM/FDEM/FDEM.py
+47 -48
View File
@@ -223,8 +223,9 @@ class ProblemFDEM_b(BaseFDEMProblem):
mui = self.MfMui
sigI = self.MeSigmaI
C = self.mesh.edgeCurl
iomega = 1j * omega(freq) * sp.eye(self.mesh.nF)
return mui*C*sigI*C.T*mui + 1j*omega(freq)*mui
return C*sigI*C.T*mui + iomega
def getADeriv(self, freq, u, v, adjoint=False):
@@ -301,7 +302,7 @@ class ProblemFDEM_b(BaseFDEMProblem):
C = self.mesh.edgeCurl
b_0 = C*a
return -1j*omega(freq)*mui*b_0
return -1j*omega(freq)*b_0
def calcFields(self, sol, freq, fieldType, adjoint=False):
b = sol
@@ -492,7 +493,7 @@ class ProblemFDEM_j(BaseFDEMProblem):
# Solving for h! - NOTE: WE ARE GOING TO NEED dRHS / dm !
# Solving for h! - using primary- secondary approach
class ProblemFDEM_h(BaseFDEMProblem):
"""
Using the H-J formulation of Maxwell's equations
@@ -583,7 +584,7 @@ class ProblemFDEM_h(BaseFDEMProblem):
MeMuI = self.MeMuI
C = self.mesh.edgeCurl
return C*MeMuI*C.T*a
return MeMuI*C.T*a #C*MeMuI*C.T*a
def getRHS(self, freq):
"""
@@ -591,64 +592,62 @@ class ProblemFDEM_h(BaseFDEMProblem):
:rtype: numpy.ndarray (nE, nTx)
:return: RHS
"""
MeMu = self.MeMu
MfSigi = self.MfSigmai
C = self.mesh.edgeCurl
j_s = self.getjs(freq)
return C.T*MfSigi*j_s
Hp = self.getjs(freq)
return -1j*omega(freq)*MeMu*Hp #C.T*MfSigi*j_s
def getRHSDeriv(self, freq, v, adjoint=False):
"""
:param float freq: Frequency
:rtype: numpy.ndarray (nE, nTx)
:return: RHSDeriv
"""
C = self.mesh.edgeCurl
sig = self.curModel.transform
sigi = 1/sig
j_s = self.getjs(freq)
dMf_dsigi = self.mesh.getFaceInnerProductDeriv(sigi)(j_s)
dsig_dm = self.curModel.transformDeriv
dsigi_dsig = -Utils.sdiag(sigi)**2 # only works for diagonal matrices
# def getRHSDeriv(self, freq, v, adjoint=False):
# """
# :param float freq: Frequency
# :rtype: numpy.ndarray (nE, nTx)
# :return: RHSDeriv
# """
# C = self.mesh.edgeCurl
# sig = self.curModel.transform
# sigi = 1/sig
# j_s = self.getjs(freq)
# dMf_dsigi = self.mesh.getFaceInnerProductDeriv(sigi)(j_s)
# dsig_dm = self.curModel.transformDeriv
# dsigi_dsig = -Utils.sdiag(sigi)**2 # only works for diagonal matrices
if adjoint:
return dsig_dm.T * dsigi_dsig.T * dMf_dsigi.T * C * v
return C.T * dMf_dsigi * dsigi_dsig * dsig_dm * v
# if adjoint:
# return dsig_dm.T * dsigi_dsig.T * dMf_dsigi.T * C * v
# return C.T * dMf_dsigi * dsigi_dsig * dsig_dm * v
def calcFields(self, sol, freq, fieldType, adjoint=False):
h = sol
if fieldType == 'j':
# NotImplementedError('fieldType "%s" is not implemented.' % fieldType)
C = self.mesh.edgeCurl
j_s = self.getjs(freq)
if adjoint:
# MeMuI = self.MeMuI
# MfSigi = self.MfSigmai
# j_s = self.getjs(freq)
if adjoint:
return C.T*h
return C*h - j_s
return C*h #- j_s
elif fieldType == 'h':
return h
raise NotImplementedError('fieldType "%s" is not implemented.' % fieldType)
def calcFieldsDeriv(self, sol, freq, fieldType, v, adjoint=False):
h = sol
A = self.getA(freq)
return None
# h = sol
# A = self.getA(freq)
if fieldType == 'j':
C = self.mesh.edgeCurl
j_s = self.getjs(freq)
if adjoint:
dh = self.calcFieldsDeriv(h,freq,'h',C.T*v,adjoint=True)
return dh
dh = self.calcFieldsDeriv(h,freq,'h',v)
return C*dh - j_s
# if fieldType == 'j':
# C = self.mesh.edgeCurl
# j_s = self.getjs(freq)
# if adjoint:
# dh = self.calcFieldsDeriv(h,freq,'h',C.T*v,adjoint=True)
# return dh
# dh = self.calcFieldsDeriv(h,freq,'h',v)
# return C*dh - j_s
elif fieldType == 'h':
if adjoint:
ATinv = self.Solver(A.T, **self.solverOpts)
ATinvv = ATinv*v
return self.getRHSDeriv(freq,ATinvv,adjoint=True)
dRHSh = self.getRHSDeriv(freq,v,adjoint)
Ainv = self.Solver(A, **self.solverOpts)
return Ainv*dRHSh
raise NotImplementedError('fieldType "%s" is not implemented.' % fieldType)
# elif fieldType == 'h':
# if adjoint:
# ATinv = self.Solver(A.T, **self.solverOpts)
# ATinvv = ATinv*v
# return self.getRHSDeriv(freq,ATinvv,adjoint=True)
# dRHSh = self.getRHSDeriv(freq,v,adjoint)
# Ainv = self.Solver(A, **self.solverOpts)
# return Ainv*dRHSh
# raise NotImplementedError('fieldType "%s" is not implemented.' % fieldType)
simpegEM/Tests/test_FDEM.py
+5 -5
View File
@@ -323,7 +323,7 @@ class FDEM_DerivTests(unittest.TestCase):
def test_Jtvec_adjointTest_hyi_Jform(self):
self.assertTrue(adjointTest('j', 'hyi'))
def test_Jtvec_adjointTest_hzi_Jform(self):
self.assertTrue(adjointTest('j', 'hzi'))
self.assertTrue(adjointTest('j', 'hzi'))
def test_Jtvec_adjointTest_hxr_Hform(self):
self.assertTrue(adjointTest('h', 'hxr'))
@@ -369,8 +369,8 @@ class FDEM_DerivTests(unittest.TestCase):
self.assertTrue(crossCheckTest('e', 'bxr'))
def test_EB_CrossCheck_byr_Eform(self):
self.assertTrue(crossCheckTest('e', 'byr'))
def test_EB_CrossCheck_bzr_Eform(self):
self.assertTrue(crossCheckTest('e', 'bzr'))
# def test_EB_CrossCheck_bzr_Eform(self):
# self.assertTrue(crossCheckTest('e', 'bzr')) # Doesn't make sense to test this for p-s approach
def test_EB_CrossCheck_bxi_Eform(self):
self.assertTrue(crossCheckTest('e', 'bxi'))
def test_EB_CrossCheck_byi_Eform(self):
@@ -395,8 +395,8 @@ class FDEM_DerivTests(unittest.TestCase):
self.assertTrue(crossCheckTest('j', 'hxr'))
def test_HJ_CrossCheck_hyr_Jform(self):
self.assertTrue(crossCheckTest('j', 'hyr'))
def test_HJ_CrossCheck_hzr_Jform(self):
self.assertTrue(crossCheckTest('j', 'hzr'))
# def test_HJ_CrossCheck_hzr_Jform(self):
# self.assertTrue(crossCheckTest('j', 'hzr')) # Doesn't make sense to test this for p-s approach
def test_HJ_CrossCheck_hxi_Jform(self):
self.assertTrue(crossCheckTest('j', 'hxi'))
def test_HJ_CrossCheck_hyi_Jform(self):