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Working 2.5D nodal discretization (Jvec and Jtvec)

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seogi_macbook
2016-05-01 12:33:39 -07:00
parent ace9cad016
commit 9b2eec0ea3
2 changed files with 18 additions and 18 deletions
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tests/em/static/test_DC_2D_jvecjtvecadj.py
+15 -15
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@@ -104,24 +104,24 @@ class DCProblemTestsN(unittest.TestCase):
def test_misfit(self):
derChk = lambda m: [self.survey.dpred(m), lambda mx: self.p.Jvec(self.m0, mx)]
passed = Tests.checkDerivative(derChk, self.m0, plotIt=False)
passed = Tests.checkDerivative(derChk, self.m0, plotIt=False, num=3)
self.assertTrue(passed)
# def test_adjoint(self):
# # Adjoint Test
# u = np.random.rand(self.mesh.nC*self.survey.nSrc)
# v = np.random.rand(self.mesh.nC)
# w = np.random.rand(self.survey.dobs.shape[0])
# wtJv = w.dot(self.p.Jvec(self.m0, v))
# vtJtw = v.dot(self.p.Jtvec(self.m0, w))
# passed = np.abs(wtJv - vtJtw) < 1e-8
# print 'Adjoint Test', np.abs(wtJv - vtJtw), passed
# self.assertTrue(passed)
def test_adjoint(self):
# Adjoint Test
u = np.random.rand(self.mesh.nC*self.survey.nSrc)
v = np.random.rand(self.mesh.nC)
w = np.random.rand(self.survey.dobs.shape[0])
wtJv = w.dot(self.p.Jvec(self.m0, v))
vtJtw = v.dot(self.p.Jtvec(self.m0, w))
passed = np.abs(wtJv - vtJtw) < 1e-8
print 'Adjoint Test', np.abs(wtJv - vtJtw), passed
self.assertTrue(passed)
# def test_dataObj(self):
# derChk = lambda m: [self.dmis.eval(m), self.dmis.evalDeriv(m)]
# passed = Tests.checkDerivative(derChk, self.m0, plotIt=False)
# self.assertTrue(passed)
def test_dataObj(self):
derChk = lambda m: [self.dmis.eval(m), self.dmis.evalDeriv(m)]
passed = Tests.checkDerivative(derChk, self.m0, plotIt=False, num=3)
self.assertTrue(passed)
if __name__ == '__main__':
unittest.main()