wassname/simpeg
1
0
Fork 0
mirror of https://github.com/wassname/simpeg.git synced 2026-07-15 11:26:09 +08:00
Code Issues Packages Projects Releases Wiki Activity

Innerproduct work. Testing, visualization, and 2D - NOTE there are bugs in anything but a uniform LOM

Browse Source 
Not very helpful yet!
This commit is contained in:
Rowan Cockett
2013-08-05 11:51:03 -07:00
parent e2e38074fc
commit e073eaeb8b
9 changed files with 465 additions and 116 deletions
Download Patch File Download Diff File Expand all files Collapse all files
SimPEG/tests/test_tensorMesh.py
+2 -78
View File
@@ -58,84 +58,6 @@ class BasicTensorMeshTests(unittest.TestCase):
self.assertTrue(t1)
class TestCurl(OrderTest):
name = "Curl"
def getError(self):
fun = lambda x: np.cos(x) # i (cos(y)) + j (cos(z)) + k (cos(x))
sol = lambda x: np.sin(x) # i (sin(z)) + j (sin(x)) + k (sin(y))
Ex = fun(self.M.gridEx[:, 1])
Ey = fun(self.M.gridEy[:, 2])
Ez = fun(self.M.gridEz[:, 0])
E = np.concatenate((Ex, Ey, Ez))
Fx = sol(self.M.gridFx[:, 2])
Fy = sol(self.M.gridFy[:, 0])
Fz = sol(self.M.gridFz[:, 1])
curlE_anal = np.concatenate((Fx, Fy, Fz))
# Generate DIV matrix
CURL = self.M.edgeCurl
curlE = CURL*E
err = np.linalg.norm((curlE-curlE_anal), np.inf)
return err
def test_order(self):
self.orderTest()
class TestFaceDiv(OrderTest):
name = "Face Divergence"
def getError(self):
DIV = self.M.faceDiv
#Test function
fun = lambda x: np.sin(x)
Fx = fun(self.M.gridFx[:, 0])
Fy = fun(self.M.gridFy[:, 1])
Fz = fun(self.M.gridFz[:, 2])
F = np.concatenate((Fx, Fy, Fz))
divF = DIV*F
sol = lambda x, y, z: (np.cos(x)+np.cos(y)+np.cos(z))
divF_anal = sol(self.M.gridCC[:, 0], self.M.gridCC[:, 1], self.M.gridCC[:, 2])
err = np.linalg.norm((divF-divF_anal), np.inf)
return err
def test_order(self):
self.orderTest()
class TestNodalGrad(OrderTest):
name = "Nodal Gradient"
def getError(self):
GRAD = self.M.nodalGrad
#Test function
fun = lambda x, y, z: (np.cos(x)+np.cos(y)+np.cos(z))
sol = lambda x: -np.sin(x) # i (sin(x)) + j (sin(y)) + k (sin(z))
phi = fun(self.M.gridN[:, 0], self.M.gridN[:, 1], self.M.gridN[:, 2])
gradE = GRAD*phi
Ex = sol(self.M.gridEx[:, 0])
Ey = sol(self.M.gridEy[:, 1])
Ez = sol(self.M.gridEz[:, 2])
gradE_anal = np.concatenate((Ex, Ey, Ez))
err = np.linalg.norm((gradE-gradE_anal), np.inf)
return err
def test_order(self):
self.orderTest()
class TestPoissonEqn(OrderTest):
name = "Poisson Equation"
meshSizes = [16, 20, 24]
@@ -168,5 +90,7 @@ class TestPoissonEqn(OrderTest):
self.name = "Poisson Equation - Backward"
self.forward = False
self.orderTest()
if __name__ == '__main__':
unittest.main()