working Jtvec

This commit is contained in:
seogi_macbook
2016-04-23 11:06:24 -07:00
parent 8cac166fba
commit 0e16645b67
3 changed files with 56 additions and 33 deletions
+35 -8
View File
@@ -44,22 +44,47 @@ class BaseDCProblem(BaseEMProblem):
df_dmFun = getattr(f, '_%sDeriv'%rx.projField, None)
df_dm_v = df_dmFun(src, du_dm_v, v, adjoint=False)
Jv[src, rx] = rx.evalDeriv(src, self.mesh, f, df_dm_v)
Ainv.clean()
return Utils.mkvc(Jv)
def Jtvec(self, m, v, f=None):
raise NotImplementedError
if f is None:
f = self.fields(m)
self.curModel = m
# Ensure v is a data object.
if not isinstance(v, self.dataPair):
v = self.dataPair(self.survey, v)
Jtv = np.zeros(m.size)
AT = self.getA().T
ATinv = self.Solver(AT, **self.solverOpts)
for src in self.survey.srcList:
u_src = f[src, self._solutionType]
for rx in src.rxList:
PTv = rx.evalDeriv(src, self.mesh, f, v[src, rx], adjoint=True) # wrt f, need possibility wrt m
df_duTFun = getattr(f, '_%sDeriv'%rx.projField, None)
df_duT, df_dmT = df_duTFun(src, None, PTv, adjoint=True)
ATinvdf_duT = ATinv * df_duT
dA_dmT = self.getADeriv(u_src, ATinvdf_duT, adjoint=True)
dRHS_dmT = self.getRHSDeriv(src, ATinvdf_duT, adjoint=True)
du_dmT = -dA_dmT + dRHS_dmT
Jtv += df_dmT + du_dmT
return Utils.mkvc(Jtv)
def getSourceTerm(self):
"""
takes concept of source and turns it into a matrix
"""
"""
Evaluates the sources for a given frequency and puts them in matrix form
Evaluates the sources, and puts them in matrix form
:param float freq: Frequency
:rtype: (numpy.ndarray, numpy.ndarray)
:return: s_m, s_e (nE or nF, nSrc)
:return: q (nC or nN, nSrc)
"""
Srcs = self.survey.srcList
@@ -128,8 +153,10 @@ class Problem3D_N(BaseDCProblem):
"""
Derivative of the right hand side with respect to the model
"""
qDeriv = src.evalDeriv(self, adjoint=adjoint)
return qDeriv
# TODO: add qDeriv for RHS depending on m
# qDeriv = src.evalDeriv(self, adjoint=adjoint)
# return qDeriv
return Zero()
class Problem3D_CC(BaseDCProblem):
@@ -169,7 +196,7 @@ class Problem3D_CC(BaseDCProblem):
if adjoint:
# if self._makeASymmetric is True:
# v = V * v
return D * MfRhoIDeriv(D * v)
return( MfRhoIDeriv( D.T * u ).T) * ( D.T * v)
# I think we should deprecate this for DC problem.
# if self._makeASymmetric is True: