mirror of
https://github.com/wassname/simpeg.git
synced 2026-07-01 20:41:22 +08:00
Full anisotropic tensor derivatives.
This commit is contained in:
+102
-21
@@ -1,5 +1,5 @@
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from scipy import sparse as sp
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from SimPEG.Utils import sub2ind, ndgrid, mkvc, getSubArray, sdiag, inv3X3BlockDiagonal, inv2X2BlockDiagonal, makePropertyTensor, invPropertyTensor
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from SimPEG.Utils import sub2ind, ndgrid, mkvc, getSubArray, sdiag, inv3X3BlockDiagonal, inv2X2BlockDiagonal, makePropertyTensor, invPropertyTensor, spzeros
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import numpy as np
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@@ -11,7 +11,7 @@ class InnerProducts(object):
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raise Exception('InnerProducts is a base class providing inner product matrices for meshes and cannot run on its own. Inherit to your favorite Mesh class.')
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def getFaceInnerProduct(self, materialProperty=None, returnP=False,
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invertProperty=False):
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invertProperty=False, doFast=True):
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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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:param bool returnP: returns the projection matrices
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@@ -21,7 +21,7 @@ class InnerProducts(object):
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"""
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fast = None
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if returnP is False and hasattr(self, '_fastFaceInnerProduct'):
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if returnP is False and hasattr(self, '_fastFaceInnerProduct') and doFast:
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fast = self._fastFaceInnerProduct(materialProperty=materialProperty, invertProperty=invertProperty)
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if fast is not None:
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@@ -71,7 +71,7 @@ class InnerProducts(object):
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else:
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return A
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def getFaceInnerProductDeriv(self, materialProperty=None, P=None):
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def getFaceInnerProductDeriv(self, materialProperty=None, v=None, P=None, doFast=True):
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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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@@ -79,24 +79,18 @@ class InnerProducts(object):
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"""
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fast = None
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if hasattr(self, '_fastFaceInnerProductDeriv'):
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fast = self._fastFaceInnerProductDeriv(materialProperty=materialProperty)
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if hasattr(self, '_fastFaceInnerProductDeriv') and doFast:
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fast = self._fastFaceInnerProductDeriv(materialProperty=materialProperty, v=v)
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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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if P is None:
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M, P = getFaceInnerProduct(self, materialProperty=materialProperty, returnP=True)
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M, P = self.getFaceInnerProduct(materialProperty=materialProperty, returnP=True)
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d = self.dim
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return self._getInnerProductDeriv(materialProperty, v, P, self.nF)
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if d == 1:
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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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def getEdgeInnerProduct(self, materialProperty=None, returnP=False, invertProperty=False, doFast=True):
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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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:param bool returnP: returns the projection matrices
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@@ -106,7 +100,7 @@ class InnerProducts(object):
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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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if returnP is False and hasattr(self, '_fastEdgeInnerProduct') and doFast:
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fast = self._fastEdgeInnerProduct(materialProperty=materialProperty, invertProperty=invertProperty)
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if fast is not None:
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@@ -151,8 +145,7 @@ 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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def getEdgeInnerProductDeriv(self, materialProperty=None, v=None, P=None, doFast=True):
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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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@@ -161,14 +154,102 @@ class InnerProducts(object):
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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 hasattr(self, '_fastEdgeInnerProductDeriv') and doFast:
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fast = self._fastEdgeInnerProductDeriv(materialProperty=materialProperty, v=v)
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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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if P is None:
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M, P = self.getEdgeInnerProduct(materialProperty=materialProperty, returnP=True)
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return self._getInnerProductDeriv(materialProperty, v, P, self.nE)
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def _getInnerProductDeriv(self, materialProperty, v, P, n):
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if v is None:
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raise Exception('v must be supplied for this implementation.')
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d = self.dim
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Z = spzeros(self.nC, self.nC)
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if d == 1:
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dMdm = spzeros(n, self.nC)
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for i, p in enumerate(P):
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dMdm = dMdm + p.T * sdiag( p * v )
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elif d == 2:
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if materialProperty is None or materialProperty.size == self.nC:
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dMdm = spzeros(n, self.nC)
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for i, p in enumerate(P):
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Y = p * v
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y1 = Y[:self.nC]
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y2 = Y[self.nC:]
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dMdm = dMdm + p.T * sp.vstack((sdiag( y1 ), sdiag( y2 )))
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if materialProperty.size == self.nC*2:
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dMdm1 = spzeros(n, self.nC)
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dMdm2 = spzeros(n, self.nC)
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for i, p in enumerate(P):
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Y = p * v
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y1 = Y[:self.nC]
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y2 = Y[self.nC:]
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dMdm1 = dMdm1 + p.T * sp.vstack(( sdiag( y1 ), Z))
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dMdm2 = dMdm2 + p.T * sp.vstack(( Z, sdiag( y2 )))
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dMdm = sp.hstack((dMdm1, dMdm2))
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if materialProperty.size == self.nC*3:
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dMdm1 = spzeros(n, self.nC)
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dMdm2 = spzeros(n, self.nC)
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dMdm3 = spzeros(n, self.nC)
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for i, p in enumerate(P):
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Y = p * v
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y1 = Y[:self.nC]
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y2 = Y[self.nC:]
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dMdm1 = dMdm1 + p.T * sp.vstack(( sdiag( y1 ), Z))
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dMdm2 = dMdm2 + p.T * sp.vstack(( Z, sdiag( y2 )))
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dMdm3 = dMdm3 + p.T * sp.vstack(( sdiag( y2 ), sdiag( y1 )))
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dMdm = sp.hstack((dMdm1, dMdm2, dMdm3))
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elif d == 3:
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if materialProperty is None or materialProperty.size == self.nC:
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dMdm = spzeros(n, self.nC)
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for i, p in enumerate(P):
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Y = p * v
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y1 = Y[:self.nC]
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y2 = Y[self.nC:self.nC*2]
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y3 = Y[self.nC*2:]
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dMdm = dMdm + p.T * sp.vstack((sdiag( y1 ), sdiag( y2 ), sdiag( y3 )))
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if materialProperty.size == self.nC*3:
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dMdm1 = spzeros(n, self.nC)
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dMdm2 = spzeros(n, self.nC)
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dMdm3 = spzeros(n, self.nC)
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for i, p in enumerate(P):
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Y = p * v
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y1 = Y[:self.nC]
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y2 = Y[self.nC:self.nC*2]
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y3 = Y[self.nC*2:]
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dMdm1 = dMdm1 + p.T * sp.vstack(( sdiag( y1 ), Z, Z))
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dMdm2 = dMdm2 + p.T * sp.vstack(( Z, sdiag( y2 ), Z))
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dMdm3 = dMdm3 + p.T * sp.vstack(( Z, Z, sdiag( y3 )))
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dMdm = sp.hstack((dMdm1, dMdm2, dMdm3))
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if materialProperty.size == self.nC*6:
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dMdm1 = spzeros(n, self.nC)
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dMdm2 = spzeros(n, self.nC)
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dMdm3 = spzeros(n, self.nC)
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dMdm4 = spzeros(n, self.nC)
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dMdm5 = spzeros(n, self.nC)
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dMdm6 = spzeros(n, self.nC)
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for i, p in enumerate(P):
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Y = p * v
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y1 = Y[:self.nC]
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y2 = Y[self.nC:self.nC*2]
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y3 = Y[self.nC*2:]
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dMdm1 = dMdm1 + p.T * sp.vstack(( sdiag( y1 ), Z, Z))
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dMdm2 = dMdm2 + p.T * sp.vstack(( Z, sdiag( y2 ), Z))
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dMdm3 = dMdm3 + p.T * sp.vstack(( Z, Z, sdiag( y3 )))
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dMdm4 = dMdm4 + p.T * sp.vstack(( sdiag( y2 ), sdiag( y1 ), Z))
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dMdm5 = dMdm5 + p.T * sp.vstack(( sdiag( y3 ), Z, sdiag( y1 )))
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dMdm6 = dMdm6 + p.T * sp.vstack(( Z, sdiag( y3 ), sdiag( y2 )))
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dMdm = sp.hstack((dMdm1, dMdm2, dMdm3, dMdm4, dMdm5, dMdm6))
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return dMdm
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# ------------------------ Geometries ------------------------------
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#
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@@ -549,25 +549,25 @@ class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
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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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def _fastFaceInnerProductDeriv(self, materialProperty=None, v=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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return self._fastInnerProductDeriv('F', materialProperty=materialProperty, v=v)
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def _fastEdgeInnerProductDeriv(self, materialProperty=None):
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def _fastEdgeInnerProductDeriv(self, materialProperty=None, v=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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return self._fastInnerProductDeriv('E', materialProperty=materialProperty, v=v)
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def _fastInnerProductDeriv(self, AvType, materialProperty=None):
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def _fastInnerProductDeriv(self, AvType, materialProperty=None, v=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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@@ -576,11 +576,16 @@ class TensorMesh(BaseRectangularMesh, TensorView, DiffOperators, InnerProducts):
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"""
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if materialProperty is None or materialProperty.size == self.nC:
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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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V = Utils.sdiag(self.vol)
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if v is None:
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return self.dim * Av.T * Utils.sdiag(self.vol)
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return Utils.sdiag(v) * self.dim * Av.T * V
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if materialProperty.size == self.nC*self.dim: # anisotropic
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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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if v is None:
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return Av.T * V
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return Utils.sdiag(v) * Av.T * V
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if __name__ == '__main__':
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@@ -5,45 +5,82 @@ from TestUtils import checkDerivative
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class TestInnerProductsDerivs(unittest.TestCase):
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def setUp(self):
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pass
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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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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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Md = mesh.getFaceInnerProductDeriv(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 doTestFace(self, h, rep, vec, fast):
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mesh = Mesh.TensorMesh(h)
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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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if vec:
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Md = mesh.getFaceInnerProductDeriv(sig, v=v, doFast=fast)
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return M*v, Md
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Md = mesh.getFaceInnerProductDeriv(sig, doFast=fast)
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return M*v, Utils.sdiag(v)*Md
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sig = np.random.rand(mesh.nC*rep)
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return checkDerivative(fun, sig, num=5, plotIt=False)
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def doTestEdge(self, h, rep, vec, fast):
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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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if vec:
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Md = mesh.getEdgeInnerProductDeriv(sig, v=v, doFast=fast)
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return M*v, Md
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Md = mesh.getEdgeInnerProductDeriv(sig, doFast=fast)
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return M*v, Utils.sdiag(v)*Md
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sig = np.random.rand(mesh.nC*rep)
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return checkDerivative(fun, sig, num=5, plotIt=False)
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def test_FaceIP_1D_isotropic(self):
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self.assertTrue(self.doTestFace([10],1,True, False))
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def test_FaceIP_2D_isotropic(self):
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self.assertTrue(self.doTestFace([10, 4],1,True, False))
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def test_FaceIP_3D_isotropic(self):
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self.assertTrue(self.doTestFace([10, 4, 5],1,True, False))
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def test_FaceIP_2D_anisotropic(self):
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self.assertTrue(self.doTestFace([10, 4],2,True, False))
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def test_FaceIP_3D_anisotropic(self):
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self.assertTrue(self.doTestFace([10, 4, 5],3,True, False))
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def test_FaceIP_2D_tensor(self):
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self.assertTrue(self.doTestFace([10, 4],3,True, False))
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def test_FaceIP_3D_tensor(self):
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self.assertTrue(self.doTestFace([10, 4, 5],6,True, False))
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def test_FaceIP_1D_isotropic_fast(self):
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self.assertTrue(self.doTestFace([10],1, False, True))
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def test_FaceIP_2D_isotropic_fast(self):
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self.assertTrue(self.doTestFace([10, 4],1, False, True))
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def test_FaceIP_3D_isotropic_fast(self):
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self.assertTrue(self.doTestFace([10, 4, 5],1, False, True))
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def test_FaceIP_2D_anisotropic_fast(self):
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self.assertTrue(self.doTestFace([10, 4],2, False, True))
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def test_FaceIP_3D_anisotropic_fast(self):
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self.assertTrue(self.doTestFace([10, 4, 5],3, False, True))
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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_EdgeIP_2D_isotropic(self):
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self.assertTrue(self.doTestEdge([10, 4],1,True, False))
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def test_EdgeIP_3D_isotropic(self):
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self.assertTrue(self.doTestEdge([10, 4, 5],1,True, False))
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def test_EdgeIP_2D_anisotropic(self):
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self.assertTrue(self.doTestEdge([10, 4],2,True, False))
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def test_EdgeIP_3D_anisotropic(self):
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self.assertTrue(self.doTestEdge([10, 4, 5],3,True, False))
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def test_EdgeIP_2D_tensor(self):
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self.assertTrue(self.doTestEdge([10, 4],3,True, False))
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def test_EdgeIP_3D_tensor(self):
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self.assertTrue(self.doTestEdge([10, 4, 5],6,True, False))
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def test_EdgeIP_2D_isotropic_fast(self):
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self.assertTrue(self.doTestEdge([10, 4],1, False, True))
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def test_EdgeIP_3D_isotropic_fast(self):
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self.assertTrue(self.doTestEdge([10, 4, 5],1, False, True))
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def test_EdgeIP_2D_anisotropic_fast(self):
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self.assertTrue(self.doTestEdge([10, 4],2, False, True))
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def test_EdgeIP_3D_anisotropic_fast(self):
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self.assertTrue(self.doTestEdge([10, 4, 5],3, False, True))
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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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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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Md = mesh.getFaceInnerProductDeriv(sig)
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return M*v, Utils.sdiag(v)*Md
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sig = np.random.rand(mesh.nC*mesh.dim)
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passed = checkDerivative(fun, sig, plotIt=False)
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self.assertTrue(passed)
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