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Tested averaging operators.
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@@ -264,10 +264,10 @@ class DiffOperators(object):
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if(self.dim == 1):
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self._aveF2CC = av(n[0])
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elif(self.dim == 2):
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self._aveF2CC = sp.hstack((sp.kron(speye(n[1]), av(n[0])),
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self._aveF2CC = (0.5)*sp.hstack((sp.kron(speye(n[1]), av(n[0])),
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sp.kron(av(n[1]), speye(n[0]))), format="csr")
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elif(self.dim == 3):
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self._aveF2CC = sp.hstack((kron3(speye(n[2]), speye(n[1]), av(n[0])),
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self._aveF2CC = (1./3.)*sp.hstack((kron3(speye(n[2]), speye(n[1]), av(n[0])),
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kron3(speye(n[2]), av(n[1]), speye(n[0])),
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kron3(av(n[2]), speye(n[1]), speye(n[0]))), format="csr")
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return self._aveF2CC
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@@ -285,10 +285,10 @@ class DiffOperators(object):
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if(self.dim == 1):
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raise Exception('Edge Averaging does not make sense in 1D: Use Identity?')
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elif(self.dim == 2):
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self._aveE2CC = sp.hstack((sp.kron(av(n[1]), speye(n[0])),
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self._aveE2CC = 0.5*sp.hstack((sp.kron(av(n[1]), speye(n[0])),
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sp.kron(speye(n[1]), av(n[0]))), format="csr")
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elif(self.dim == 3):
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self._aveE2CC = sp.hstack((kron3(av(n[2]), av(n[1]), speye(n[0])),
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self._aveE2CC = (1./3)*sp.hstack((kron3(av(n[2]), av(n[1]), speye(n[0])),
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kron3(av(n[2]), speye(n[1]), av(n[0])),
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kron3(speye(n[2]), av(n[1]), av(n[0]))), format="csr")
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return self._aveE2CC
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@@ -314,26 +314,47 @@ class DiffOperators(object):
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_aveN2CC = None
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aveN2CC = property(**aveN2CC())
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def aveN2CCv():
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doc = "Construct the averaging operator on cell nodes to cell centers, keeping each dimension separate."
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def aveN2E():
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doc = "Construct the averaging operator on cell nodes to cell edges, keeping each dimension separate."
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def fget(self):
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if(self._aveN2CCv is None):
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if(self._aveN2E is None):
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# The number of cell centers in each direction
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n = self.n
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if(self.dim == 1):
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self._aveN2CCv = av(n[0])
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self._aveN2E = av(n[0])
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elif(self.dim == 2):
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self._aveN2CCv = sp.block_diag((sp.kron(speye(n[1]), av(n[0])),
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sp.kron(av(n[1]), speye(n[0]))), format="csr")
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self._aveN2E = sp.vstack((sp.kron(speye(n[1]+1), av(n[0])),
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sp.kron(av(n[1]), speye(n[0]+1))), format="csr")
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elif(self.dim == 3):
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self._aveN2CCv = sp.block_diag((kron3(speye(n[2]), speye(n[1]), av(n[0])),
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kron3(speye(n[2]), av(n[1]), speye(n[0])),
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kron3(av(n[2]), speye(n[1]), speye(n[0]))), format="csr")
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return self._aveN2CCv
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self._aveN2E = sp.vstack((kron3(speye(n[2]+1), speye(n[1]+1), av(n[0])),
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kron3(speye(n[2]+1), av(n[1]), speye(n[0]+1)),
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kron3(av(n[2]), speye(n[1]+1), speye(n[0]+1))), format="csr")
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return self._aveN2E
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return locals()
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_aveN2CCv = None
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aveN2CCv = property(**aveN2CCv())
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_aveN2E = None
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aveN2E = property(**aveN2E())
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def aveN2F():
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doc = "Construct the averaging operator on cell nodes to cell faces, keeping each dimension separate."
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def fget(self):
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if(self._aveN2F is None):
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# The number of cell centers in each direction
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n = self.n
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if(self.dim == 1):
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self._aveN2F = av(n[0])
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elif(self.dim == 2):
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self._aveN2F = sp.vstack((sp.kron(av(n[1]), speye(n[0]+1)),
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sp.kron(speye(n[1]+1), av(n[0]))), format="csr")
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elif(self.dim == 3):
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self._aveN2F = sp.vstack((kron3(av(n[2]), av(n[1]), speye(n[0]+1)),
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kron3(av(n[2]), speye(n[1]+1), av(n[0])),
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kron3(speye(n[2]+1), av(n[1]), av(n[0]))), format="csr")
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return self._aveN2F
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return locals()
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_aveN2F = None
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aveN2F = property(**aveN2F())
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def getMass(self, materialProp=None, loc='e'):
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""" Produces mass matricies.
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