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Edge inner products are derivatives w/ testing.
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@@ -77,7 +77,6 @@ class InnerProducts(object):
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:rtype: scipy.csr_matrix
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:return: M, the inner product matrix (nF, nF)
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"""
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fast = None
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if hasattr(self, '_fastFaceInnerProductDeriv'):
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@@ -97,8 +96,6 @@ class InnerProducts(object):
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P[0].T * sp.identity(n) * P[0]
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def getEdgeInnerProduct(self, materialProperty=None, returnP=False, invertProperty=False):
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"""
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:param numpy.array materialProperty: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
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@@ -107,6 +104,14 @@ class InnerProducts(object):
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:rtype: scipy.csr_matrix
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:return: M, the inner product matrix (nE, nE)
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"""
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fast = None
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if returnP is False and hasattr(self, '_fastEdgeInnerProduct'):
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fast = self._fastEdgeInnerProduct(materialProperty=materialProperty, invertProperty=invertProperty)
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if fast is not None:
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return fast
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if invertProperty:
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materialProperty = invPropertyTensor(self, materialProperty)
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@@ -146,6 +151,25 @@ class InnerProducts(object):
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else:
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return A
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def getEdgeInnerProductDeriv(self, materialProperty=None, P=None):
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"""
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:param numpy.array materialProperty: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
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:rtype: scipy.csr_matrix
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:return: M, the inner product matrix (nF, nF)
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"""
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fast = None
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if hasattr(self, '_fastEdgeInnerProductDeriv'):
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fast = self._fastEdgeInnerProductDeriv(materialProperty=materialProperty)
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if fast is not None:
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return fast
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raise NotImplementedError('Derivatives for the material property specified are not yet implemented.')
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# ------------------------ Geometries ------------------------------
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#
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#
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@@ -503,35 +503,82 @@ class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
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:rtype: scipy.csr_matrix
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:return: M, the inner product matrix (nF, nF)
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"""
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return self._fastInnerProduct('F', materialProperty=materialProperty, invertProperty=invertProperty)
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def _fastEdgeInnerProduct(self, materialProperty=None, invertProperty=False):
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"""
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Fast version of getEdgeInnerProduct.
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This does not handle the case of a full tensor materialProperty.
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:param numpy.array materialProperty: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
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:param bool returnP: returns the projection matrices
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:param bool invertProperty: inverts the material property
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:rtype: scipy.csr_matrix
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:return: M, the inner product matrix (nE, nE)
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"""
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return self._fastInnerProduct('E', materialProperty=materialProperty, invertProperty=invertProperty)
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def _fastInnerProduct(self, AvType, materialProperty=None, invertProperty=False):
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"""
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Fast version of getFaceInnerProduct.
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This does not handle the case of a full tensor materialProperty.
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:param numpy.array materialProperty: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
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:param str AvType: 'E' or 'F'
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:param bool returnP: returns the projection matrices
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:param bool invertProperty: inverts the material property
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:rtype: scipy.csr_matrix
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:return: M, the inner product matrix (nF, nF)
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"""
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if materialProperty is None:
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materialProperty = np.ones(self.nC)
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if materialProperty.size == self.nC:
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if invertProperty:
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materialProperty = 1./materialProperty
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Av = self.aveF2CC
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Av = getattr(self, 'ave'+AvType+'2CC')
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V = Utils.sdiag(self.vol)
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return self.dim * Utils.sdiag(Av.T * V * materialProperty)
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if materialProperty.size == self.nC*self.dim:
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if invertProperty:
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materialProperty = 1./materialProperty
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Av = self.aveF2CCV
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Av = getattr(self, 'ave'+AvType+'2CCV')
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V = sp.kron(sp.identity(self.dim), Utils.sdiag(self.vol))
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return Utils.sdiag(Av.T * V * Utils.mkvc(materialProperty))
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def _fastFaceInnerProductDeriv(self, materialProperty=None):
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"""
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:param numpy.array materialProperty: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
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:rtype: scipy.csr_matrix
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:return: M, the inner product matrix (nF, nF)
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"""
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return self._fastInnerProductDeriv('F', materialProperty=materialProperty)
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def _fastEdgeInnerProductDeriv(self, materialProperty=None):
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"""
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:param numpy.array materialProperty: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
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:rtype: scipy.csr_matrix
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:return: M, the inner product matrix (nE, nE)
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"""
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return self._fastInnerProductDeriv('E', materialProperty=materialProperty)
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def _fastInnerProductDeriv(self, AvType, materialProperty=None):
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"""
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:param str AvType: 'E' or 'F'
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:param numpy.array materialProperty: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
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:rtype: scipy.csr_matrix
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:return: M, the inner product matrix (nF, nF)
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"""
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if materialProperty is None or materialProperty.size == self.nC:
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Av = self.aveF2CC
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Av = getattr(self, 'ave'+AvType+'2CC')
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return self.dim * Av.T * Utils.sdiag(self.vol)
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if materialProperty.size == self.nC*self.dim: # anisotropic
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Av = self.aveF2CCV
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Av = getattr(self, 'ave'+AvType+'2CCV')
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V = sp.kron(sp.identity(self.dim), Utils.sdiag(self.vol))
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return Av.T * V
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@@ -11,7 +11,6 @@ class TestInnerProductsDerivs(unittest.TestCase):
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def test_FaceIP_derivs_isotropic(self):
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for d in range(3):
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mesh = Mesh.TensorMesh([10,5,4][d:])
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M,Ps = mesh.getFaceInnerProduct(returnP=True)
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v = np.random.rand(mesh.nF)
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def fun(sig):
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M = mesh.getFaceInnerProduct(sig)
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@@ -21,10 +20,22 @@ class TestInnerProductsDerivs(unittest.TestCase):
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passed = checkDerivative(fun, sig, plotIt=False)
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self.assertTrue(passed)
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def test_EdgeIP_derivs_isotropic(self):
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for h in [[10,5],[10,5,4]]:
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mesh = Mesh.TensorMesh(h)
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v = np.random.rand(mesh.nE)
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def fun(sig):
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M = mesh.getEdgeInnerProduct(sig)
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Md = mesh.getEdgeInnerProductDeriv(sig)
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return M*v, Utils.sdiag(v)*Md
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sig = np.random.rand(mesh.nC)
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passed = checkDerivative(fun, sig, plotIt=False)
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self.assertTrue(passed)
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def test_FaceIP_derivs_anisotropic(self):
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for d in range(3):
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mesh = Mesh.TensorMesh([10,5,4][d:])
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M,Ps = mesh.getFaceInnerProduct(returnP=True)
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v = np.random.rand(mesh.nF)
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def fun(sig):
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M = mesh.getFaceInnerProduct(sig)
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