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Doc testing, I think that is most of them!
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@@ -8,7 +8,7 @@ class RegularizationMesh(object):
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are not necessarily true differential operators, but are constructed from
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a SimPEG Mesh.
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:param Mesh mesh: problem mesh
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:param BaseMesh mesh: problem mesh
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:param numpy.array indActive: bool array, size nC, that is True where we have active cells. Used to reduce the operators so we regularize only on active cells
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"""
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@@ -381,8 +381,8 @@ class BaseRegularization(object):
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:param numpy.array m: geophysical model
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:param numpy.array v: vector to multiply
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:rtype: scipy.sparse.csr_matrix or numpy.ndarray
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:return: WtW or WtW*v
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:rtype: scipy.sparse.csr_matrix
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:return: WtW, or if v is supplied WtW*v (numpy.ndarray)
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The regularization is:
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@@ -417,8 +417,8 @@ class Tikhonov(BaseRegularization):
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Note if the key word argument `mrefInSmooth` is False, then mref is not
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included in the smoothness contribution.
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:param Mesh mesh: SimPEG mesh
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:param Maps mapping: regularization mapping, takes the model from model space to the thing you want to regularize
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:param BaseMesh mesh: SimPEG mesh
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:param IdentityMap mapping: regularization mapping, takes the model from model space to the thing you want to regularize
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:param numpy.ndarray indActive: active cell indices for reducing the size of differential operators in the definition of a regularization mesh
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:param bool mrefInSmooth: (default = False) put mref in the smoothness component?
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:param float alpha_s: (default 1e-6) smallness weight
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@@ -438,7 +438,7 @@ class Tikhonov(BaseRegularization):
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alpha_yy = Utils.dependentProperty('_alpha_yy', 0.0, ['_W', '_Wyy'], "Weight for the second derivative in the y direction")
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alpha_zz = Utils.dependentProperty('_alpha_zz', 0.0, ['_W', '_Wzz'], "Weight for the second derivative in the z direction")
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def __init__(self, mesh, mapping=None, indActive = None, **kwargs):
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def __init__(self, mesh, mapping=None, indActive=None, **kwargs):
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BaseRegularization.__init__(self, mesh, mapping=mapping, indActive=indActive, **kwargs)
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@property
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