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Rowan Cockett
ef557beb84
This is under the DiffOperators class, which can be inherited with BaseMesh to any Mesh Object. Cell area and other dimension calculations are included in the TensorMesh class. Wrote unit tests for cell vol, area, and edges.
46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
import numpy as np
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import sys
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sys.path.append('../')
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from TensorMesh import TensorMesh
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err=0.
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print '>> Test face Divergence operator'
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for i in range(4):
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icount=i+1
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nc = 2**icount
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# Define the mesh
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h1 = np.ones((1,nc))/nc
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h2 = np.ones((1,nc))/nc
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h3 = np.ones((1,nc))/nc
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h = [h1, h2, h3]
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x0 = np.zeros((3, 1))
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M = TensorMesh(h, x0)
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#n = M.plotGrid()
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# Generate DIV matrix
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DIV = M.DIV
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#Test function
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fun = lambda x: np.sin(x)
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Fx = fun(M.gridFx[:,0])
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Fy = fun(M.gridFy[:,1])
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Fz = fun(M.gridFz[:,2])
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F = np.concatenate((Fx,Fy,Fz))
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divF = DIV*F
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sol = lambda x, y, z: (np.cos(x)+np.cos(y)+np.cos(z))
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divF_anal = sol(M.gridCC[:,0], M.gridCC[:,1], M.gridCC[:,2])
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#err = np.linalg.norm((divF-divF_anal)*np.sqrt(vol), 2)
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err = np.linalg.norm((divF-divF_anal), np.inf)
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if icount == 1:
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print 'h | inf norm | error ratio'
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print '---------------------------------------'
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print '%6.4f | %8.2e |'% (h1[0,0], err)
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else:
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print '%6.4f | %8.2e | %6.4f' % (h1[0,0], err, err_old/err)
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err_old = err
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