From 3680295e5422576281ef361c50e347448ae70acf Mon Sep 17 00:00:00 2001 From: Rowan Cockett Date: Wed, 17 Jul 2013 15:11:38 -0700 Subject: [PATCH] Deleted unused code. --- SimPEG/getDIV.py | 75 ------------------------------------------------ 1 file changed, 75 deletions(-) delete mode 100644 SimPEG/getDIV.py diff --git a/SimPEG/getDIV.py b/SimPEG/getDIV.py deleted file mode 100644 index 6c45c57c..00000000 --- a/SimPEG/getDIV.py +++ /dev/null @@ -1,75 +0,0 @@ -import numpy as np -from scipy import sparse -from utils import mkvc -from sputils import ddx, sdiag, speye, kron3 - -def getvol(h): - - # Cell sizes in each direction - h1 = h[0] - h2 = h[1] - h3 = h[2] - - # Compute cell volumes - v12 = h1.T*h2 - V = mkvc(v12.reshape(-1,1)*h3) - - return V - -def getarea(h): - - # Cell sizes in each direction - h1 = h[0] - h2 = h[1] - h3 = h[2] - - # The number of cell centers in each direction - n1 = np.size(h1) - n2 = np.size(h2) - n3 = np.size(h3) - # Compute areas of cell faces - area1 = np.ones((n1+1,1))*mkvc(h2.T*h3) - area2 = h1.T*mkvc(np.ones((n2+1,1))*h3) - area3 = h1.T*mkvc(h2.T*np.ones(n3+1)) - area = np.hstack((np.hstack((mkvc(area1), mkvc(area2))), mkvc(area3))) - - return area - -def getDivMatrix(h): - """Consturct the 3D divergence operator on Faces.""" - - # Cell sizes in each direction - h1 = h[0] - h2 = h[1] - h3 = h[2] - - # The number of cell centers in each direction - n1 = np.size(h1) - n2 = np.size(h2) - n3 = np.size(h3) - - # Compute areas of cell faces - #area1 = np.ones((n1+1,1))*mkvc(h2.T*h3) - #area2 = h1.T*mkvc(np.ones((n2+1,1))*h3) - #area3 = h1.T*mkvc(h2.T*np.ones(n3+1)) - #area = np.hstack((np.hstack((mkvc(area1), mkvc(area2))), mkvc(area3))) - area = getarea(h) - - S = sdiag(area) - - # Compute cell volumes - #v12 = h1.T*h2 - #V = mkvc(v12.reshape(-1,1)*h3) - V = getvol(h) - - # Compute divergence operator on faces - d1 = ddx(n1) - d2 = ddx(n2) - d3 = ddx(n3) - D1 = kron3(speye(n3), speye(n2), d1) - D2 = kron3(speye(n3), d2, speye(n1)) - D3 = kron3(d3, speye(n2), speye(n1)) - - D = sparse.hstack((sparse.hstack((D1, D2)), D3)) - return sdiag(1/V)*D*S -