Tested averaging operators.

This commit is contained in:
Rowan Cockett
2013-11-06 12:43:17 -08:00
parent 3f097a106d
commit 24b1307d8a
5 changed files with 1125 additions and 373 deletions
+37 -16
View File
@@ -264,10 +264,10 @@ class DiffOperators(object):
if(self.dim == 1):
self._aveF2CC = av(n[0])
elif(self.dim == 2):
self._aveF2CC = sp.hstack((sp.kron(speye(n[1]), av(n[0])),
self._aveF2CC = (0.5)*sp.hstack((sp.kron(speye(n[1]), av(n[0])),
sp.kron(av(n[1]), speye(n[0]))), format="csr")
elif(self.dim == 3):
self._aveF2CC = sp.hstack((kron3(speye(n[2]), speye(n[1]), av(n[0])),
self._aveF2CC = (1./3.)*sp.hstack((kron3(speye(n[2]), speye(n[1]), av(n[0])),
kron3(speye(n[2]), av(n[1]), speye(n[0])),
kron3(av(n[2]), speye(n[1]), speye(n[0]))), format="csr")
return self._aveF2CC
@@ -285,10 +285,10 @@ class DiffOperators(object):
if(self.dim == 1):
raise Exception('Edge Averaging does not make sense in 1D: Use Identity?')
elif(self.dim == 2):
self._aveE2CC = sp.hstack((sp.kron(av(n[1]), speye(n[0])),
self._aveE2CC = 0.5*sp.hstack((sp.kron(av(n[1]), speye(n[0])),
sp.kron(speye(n[1]), av(n[0]))), format="csr")
elif(self.dim == 3):
self._aveE2CC = sp.hstack((kron3(av(n[2]), av(n[1]), speye(n[0])),
self._aveE2CC = (1./3)*sp.hstack((kron3(av(n[2]), av(n[1]), speye(n[0])),
kron3(av(n[2]), speye(n[1]), av(n[0])),
kron3(speye(n[2]), av(n[1]), av(n[0]))), format="csr")
return self._aveE2CC
@@ -314,26 +314,47 @@ class DiffOperators(object):
_aveN2CC = None
aveN2CC = property(**aveN2CC())
def aveN2CCv():
doc = "Construct the averaging operator on cell nodes to cell centers, keeping each dimension separate."
def aveN2E():
doc = "Construct the averaging operator on cell nodes to cell edges, keeping each dimension separate."
def fget(self):
if(self._aveN2CCv is None):
if(self._aveN2E is None):
# The number of cell centers in each direction
n = self.n
if(self.dim == 1):
self._aveN2CCv = av(n[0])
self._aveN2E = av(n[0])
elif(self.dim == 2):
self._aveN2CCv = sp.block_diag((sp.kron(speye(n[1]), av(n[0])),
sp.kron(av(n[1]), speye(n[0]))), format="csr")
self._aveN2E = sp.vstack((sp.kron(speye(n[1]+1), av(n[0])),
sp.kron(av(n[1]), speye(n[0]+1))), format="csr")
elif(self.dim == 3):
self._aveN2CCv = sp.block_diag((kron3(speye(n[2]), speye(n[1]), av(n[0])),
kron3(speye(n[2]), av(n[1]), speye(n[0])),
kron3(av(n[2]), speye(n[1]), speye(n[0]))), format="csr")
return self._aveN2CCv
self._aveN2E = sp.vstack((kron3(speye(n[2]+1), speye(n[1]+1), av(n[0])),
kron3(speye(n[2]+1), av(n[1]), speye(n[0]+1)),
kron3(av(n[2]), speye(n[1]+1), speye(n[0]+1))), format="csr")
return self._aveN2E
return locals()
_aveN2CCv = None
aveN2CCv = property(**aveN2CCv())
_aveN2E = None
aveN2E = property(**aveN2E())
def aveN2F():
doc = "Construct the averaging operator on cell nodes to cell faces, keeping each dimension separate."
def fget(self):
if(self._aveN2F is None):
# The number of cell centers in each direction
n = self.n
if(self.dim == 1):
self._aveN2F = av(n[0])
elif(self.dim == 2):
self._aveN2F = sp.vstack((sp.kron(av(n[1]), speye(n[0]+1)),
sp.kron(speye(n[1]+1), av(n[0]))), format="csr")
elif(self.dim == 3):
self._aveN2F = sp.vstack((kron3(av(n[2]), av(n[1]), speye(n[0]+1)),
kron3(av(n[2]), speye(n[1]+1), av(n[0])),
kron3(speye(n[2]+1), av(n[1]), av(n[0]))), format="csr")
return self._aveN2F
return locals()
_aveN2F = None
aveN2F = property(**aveN2F())
def getMass(self, materialProp=None, loc='e'):
""" Produces mass matricies.