Files
simpeg/code/EldadsCode/getFaceInnerProduct.py
T

86 lines
2.7 KiB
Python

from scipy.sparse import linalg
from scipy import sparse
from sputils import *
from utils import *
from numpy import *
from getEdgeTangent import *
from inv3X3BlockDiagonal import *
from getCellVolume import getCellVolume
from getFaceNormals import getFaceNormals
#-----------------------
def subarray(T,i1,i2,i3):
return take(take(take(T,i1,0),i2,1),i3,2)
#-----------------------
def getFaceInnerProduct(X,Y,Z,sigma):
m = array(shape(X))-1
nc = prod(m)
mf1 = m+[1, 0, 0]
mf2 = m+[0, 1, 0]
mf3 = m+[0, 0, 1]
nf1 = prod(m+[1, 0, 0])
nf2 = prod(m+[0, 1, 0])
nf3 = prod(m+[0, 0, 1])
# compute the normals
n1x,n1y,n1z,n2x,n2y,n2z,n3x,n3y,n3z,area1,area2,area3 = getFaceNormals(X,Y,Z)
i = int64(linspace(0,m[0]-1,m[0]))
j = int64(linspace(0,m[1]-1,m[1]))
k = int64(linspace(0,m[2]-1,m[2]))
ii,jj,kk = ndgrid(i,j,k)
ii = mkvc(ii); jj = mkvc(jj); kk = mkvc(kk)
ind1 = sub2ind(mf1,hstack3(ii,jj,kk))
ind2 = sub2ind(mf2,hstack3(ii,jj,kk)) + nf1
ind3 = sub2ind(mf3,hstack3(ii,jj,kk)) + nf1 + nf2
IND = vstack((vstack((ind1,ind2)),ind3))
IND = array(IND).flatten()
P1 = sparse.coo_matrix((ones(3*nc),(linspace(0,3*nc-1,3*nc),IND)),shape=(3*nc,nf1+nf2+nf3)).tocsr()
ind1 = sub2ind(mf1,hstack3(ii+1,jj,kk))
ind2 = sub2ind(mf2,hstack3(ii,jj+1,kk)) + nf1
ind3 = sub2ind(mf3,hstack3(ii,jj,kk+1)) + nf1 + nf2
IND = vstack((vstack((ind1,ind2)),ind3))
IND = array(IND).flatten()
P2 = sparse.coo_matrix((ones(3*nc),(linspace(0,3*nc-1,3*nc),IND)),shape=(3*nc,nf1+nf2+nf3)).tocsr()
invN1 = inv3X3BlockDiagonal(subarray(n1x,i,j,k) , subarray(n1y,i,j,k), subarray(n1z,i,j,k),
subarray(n2x,i,j,k) , subarray(n2y,i,j,k), subarray(n2z,i,j,k),
subarray(n3x,i,j,k) , subarray(n3y,i,j,k), subarray(n3z,i,j,k) )
invN2 = inv3X3BlockDiagonal(subarray(n1x,i+1,j,k) , subarray(n1y,i+1,j,k), subarray(n1z,i+1,j,k),
subarray(n2x,i,j+1,k) , subarray(n2y,i,j+1,k), subarray(n2z,i,j+1,k),
subarray(n3x,i,j,k+1) , subarray(n3y,i,j,k+1), subarray(n3z,i,j,k+1) )
# Cell volume
v = mkvc(getCellVolume(X,Y,Z)) #mkvc(getVolume(X,Y,Z))
vsig = v*mkvc(sigma)
v3 = vstack((vstack((vsig,vsig)),vsig))
v3 = v3.flatten()
V = sdiag(v3)
return (P1.T*invN1.T*V*invN1*P1 + P2.T*invN2.T*V*invN2*P2)/2.0
if __name__ == '__main__':
X,Y,Z = ndgrid(linspace(0,2,3),linspace(0,2,3),linspace(0,2,3))
Z[2,2,2] = 2.5; Z[0,0,0] = -0.5
X[2,2,2] = 2.5; X[0,0,0] = -0.5
sigma = ones([2,2,2])
A = getFaceInnerProduct(X,Y,Z,sigma)
print(A)