mirror of
https://github.com/wassname/simpeg.git
synced 2026-08-17 11:26:45 +08:00
Easy way to create a padded tensor mesh.
This commit is contained in:
@@ -4,29 +4,6 @@ from matutils import mkvc, ndgrid, sub2ind
|
||||
from sputils import sdiag
|
||||
|
||||
|
||||
def exampleLomGird(nC, exType):
|
||||
assert type(nC) == list, "nC must be a list containing the number of nodes"
|
||||
assert len(nC) == 2 or len(nC) == 3, "nC must either two or three dimensions"
|
||||
exType = exType.lower()
|
||||
|
||||
possibleTypes = ['rect', 'rotate']
|
||||
assert exType in possibleTypes, "Not a possible example type."
|
||||
|
||||
if exType == 'rect':
|
||||
return ndgrid([np.cumsum(np.r_[0, np.ones(nx)/nx]) for nx in nC], vector=False)
|
||||
elif exType == 'rotate':
|
||||
if len(nC) == 2:
|
||||
X, Y = ndgrid([np.cumsum(np.r_[0, np.ones(nx)/nx]) for nx in nC], vector=False)
|
||||
amt = 0.5-np.sqrt((X - 0.5)**2 + (Y - 0.5)**2)
|
||||
amt[amt < 0] = 0
|
||||
return X + (-(Y - 0.5))*amt, Y + (+(X - 0.5))*amt
|
||||
elif len(nC) == 3:
|
||||
X, Y, Z = ndgrid([np.cumsum(np.r_[0, np.ones(nx)/nx]) for nx in nC], vector=False)
|
||||
amt = 0.5-np.sqrt((X - 0.5)**2 + (Y - 0.5)**2 + (Z - 0.5)**2)
|
||||
amt[amt < 0] = 0
|
||||
return X + (-(Y - 0.5))*amt, Y + (-(Z - 0.5))*amt, Z + (-(X - 0.5))*amt
|
||||
|
||||
|
||||
def volTetra(xyz, A, B, C, D):
|
||||
"""
|
||||
Returns the volume for tetrahedras volume specified by the indexes A to D.
|
||||
|
||||
Reference in New Issue
Block a user