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https://github.com/wassname/simpeg.git
synced 2026-09-09 11:34:26 +08:00
mesh2mesh interpolation a bit slow and memory heavy right now -> might not want to return the mat, just perform the interpolation
This commit is contained in:
Lindsey Heagy
@@ -1,4 +1,5 @@
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import numpy as np
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import scipy.sparse as sp
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from SimPEG import Utils
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@@ -594,3 +595,54 @@ class BaseRectangularMesh(BaseMesh):
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return out
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else:
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return switchKernal(x)
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def getInterpolationMatMesh2Mesh(self, mesh2, locType='CC'):
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"""
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Interpolates variables from the current mesh to a new mesh (mesh2)
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:param Mesh mesh2: SimPEG mesh which we interpolate values to
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:param string locType: location of variables 'CC', 'E', 'F', 'N'
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:rtype: scipy.sparse.csr_matrix
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:return P: interpolation matrix
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"""
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# Error Checking
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if self._meshType == 'Cyl':
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assert self.isSymmetric, "Currently, we do not support non-symmetric cyl meshes"
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if mesh2._meshType == 'Cyl':
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assert self._meshType == 'Cyl', "Interpolation from 3D mesh to Cyl mesh is not supported"
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# if Cyl to cart call
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if self._meshType == 'Cyl' and mesh2._meshType != 'Cyl':
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return self.getInterpolationMatCartMesh(mesh2, locType)
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# Scalars
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if locType in ['CC', 'N', 'Fx', 'Fy', 'Fz', 'Ex', 'Ey', 'Ez']:
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grid = getattr(mesh2, 'grid%s'%locType)
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return self.getInterpolationMat(grid, locType)
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# Vectors
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else:
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if self._meshType == 'Cyl':
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if locType == 'F':
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X = self.getInterpolationMatMesh2Mesh(mesh2, locType='Fx')
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Z = self.getInterpolationMatMesh2Mesh(mesh2, locType='Fz')
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return sp.block_diag([X, Z])
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elif locType == 'E':
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return self.getInterpolationMatMesh2Mesh(mesh2, locType='Ey')
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if self.dim == 1:
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return self.getInterpolationMatMesh2Mesh(mesh2, locType='%sx'%locType)
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elif self.dim == 2:
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X = self.getInterpolationMatMesh2Mesh(mesh2, locType='%sx'%locType)
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Y = self.getInterpolationMatMesh2Mesh(mesh2, locType='%sy'%locType)
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return sp.block_diag([X, Y])
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elif self.dim == 3:
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X = self.getInterpolationMatMesh2Mesh(mesh2, locType='%sx'%locType)
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Y = self.getInterpolationMatMesh2Mesh(mesh2, locType='%sy'%locType)
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Z = self.getInterpolationMatMesh2Mesh(mesh2, locType='%sz'%locType)
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return sp.block_diag([X, Y, Z])
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+44
-35
@@ -82,14 +82,14 @@ class OrderTest(unittest.TestCase):
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_meshType = meshTypes[0]
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meshDimension = 3
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def setupMesh(self, nc):
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def makeMesh(self, nc, meshType=_meshType, meshDimension=meshDimension):
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"""
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For a given number of cells nc, generate a TensorMesh with uniform cells with edge length h=1/nc.
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"""
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if 'TensorMesh' in self._meshType:
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if 'uniform' in self._meshType:
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if 'TensorMesh' in meshType:
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if 'uniform' in meshType:
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h = [nc, nc, nc]
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elif 'random' in self._meshType:
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elif 'random' in meshType:
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h1 = np.random.rand(nc)*nc*0.5 + nc*0.5
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h2 = np.random.rand(nc)*nc*0.5 + nc*0.5
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h3 = np.random.rand(nc)*nc*0.5 + nc*0.5
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@@ -97,46 +97,46 @@ class OrderTest(unittest.TestCase):
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else:
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raise Exception('Unexpected meshType')
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self.M = TensorMesh(h[:self.meshDimension])
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max_h = max([np.max(hi) for hi in self.M.h])
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return max_h
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M = TensorMesh(h[:meshDimension])
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max_h = max([np.max(hi) for hi in M.h])
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return M, max_h
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elif 'CylMesh' in self._meshType:
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if 'uniform' in self._meshType:
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elif 'CylMesh' in meshType:
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if 'uniform' in meshType:
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h = [nc, nc, nc]
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else:
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raise Exception('Unexpected meshType')
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if self.meshDimension == 2:
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self.M = CylMesh([h[0], 1, h[2]])
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max_h = max([np.max(hi) for hi in [self.M.hx, self.M.hz]])
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elif self.meshDimension == 3:
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self.M = CylMesh(h)
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max_h = max([np.max(hi) for hi in self.M.h])
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return max_h
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if meshDimension == 2:
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M = CylMesh([h[0], 1, h[2]])
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max_h = max([np.max(hi) for hi in [M.hx, M.hz]])
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elif meshDimension == 3:
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M = CylMesh(h)
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max_h = max([np.max(hi) for hi in M.h])
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return M, max_h
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elif 'Curv' in self._meshType:
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if 'uniform' in self._meshType:
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elif 'Curv' in meshType:
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if 'uniform' in meshType:
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kwrd = 'rect'
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elif 'rotate' in self._meshType:
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elif 'rotate' in meshType:
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kwrd = 'rotate'
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else:
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raise Exception('Unexpected meshType')
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if self.meshDimension == 1:
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if meshDimension == 1:
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raise Exception('Lom not supported for 1D')
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elif self.meshDimension == 2:
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elif meshDimension == 2:
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X, Y = Utils.exampleLrmGrid([nc, nc], kwrd)
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self.M = CurvilinearMesh([X, Y])
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elif self.meshDimension == 3:
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M = CurvilinearMesh([X, Y])
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elif meshDimension == 3:
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X, Y, Z = Utils.exampleLrmGrid([nc, nc, nc], kwrd)
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self.M = CurvilinearMesh([X, Y, Z])
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return 1./nc
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M = CurvilinearMesh([X, Y, Z])
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return M, 1./nc
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elif 'Tree' in self._meshType:
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elif 'Tree' in meshType:
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nc *= 2
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if 'uniform' in self._meshType or 'notatree' in self._meshType:
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if 'uniform' in meshType or 'notatree' in meshType:
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h = [nc, nc, nc]
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elif 'random' in self._meshType:
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elif 'random' in meshType:
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h1 = np.random.rand(nc)*nc*0.5 + nc*0.5
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h2 = np.random.rand(nc)*nc*0.5 + nc*0.5
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h3 = np.random.rand(nc)*nc*0.5 + nc*0.5
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@@ -145,20 +145,29 @@ class OrderTest(unittest.TestCase):
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raise Exception('Unexpected meshType')
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levels = int(np.log(nc)/np.log(2))
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self.M = Tree(h[:self.meshDimension], levels=levels)
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M = Tree(h[:meshDimension], levels=levels)
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def function(cell):
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if 'notatree' in self._meshType:
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if 'notatree' in meshType:
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return levels - 1
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r = cell.center - np.array([0.5]*len(cell.center))
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dist = np.sqrt(r.dot(r))
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if dist < 0.2:
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return levels
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return levels - 1
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self.M.refine(function,balance=False)
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self.M.number(balance=False)
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# self.M.plotGrid(showIt=True)
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max_h = max([np.max(hi) for hi in self.M.h])
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return max_h
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M.refine(function,balance=False)
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M.number(balance=False)
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# M.plotGrid(showIt=True)
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max_h = max([np.max(hi) for hi in M.h])
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return M, max_h
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def setupMesh(self, nc):
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"""
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For a given number of cells nc, generate a TensorMesh with uniform cells with edge length h=1/nc.
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"""
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M, h = self.makeMesh(nc, meshType=self._meshType, meshDimension=self.meshDimension)
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self.M = M
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return h
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def getError(self):
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"""For given h, generate A[h], f and A(f) and return norm of error."""
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