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Regularization now just takes a model. (The mesh can be attached to the model.)
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@@ -14,15 +14,13 @@ class BaseRegularization(object):
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modelPair = Model.BaseModel #: Some regularizations only work on specific models
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mesh = None #: A SimPEG.Mesh instance.
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model = None #: A SimPEG.Model instance.
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counter = None
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def __init__(self, mesh, model, **kwargs):
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def __init__(self, model, **kwargs):
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Utils.setKwargs(self, **kwargs)
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assert isinstance(model, self.modelPair), "Incorrect model for this regularization"
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self.mesh = mesh
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self.model = model
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mref = Utils.ParameterProperty('mref', default=None, doc='Reference model.')
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@@ -49,6 +47,8 @@ class BaseRegularization(object):
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def prob(self): return self.parent.prob
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@property
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def data(self): return self.parent.data
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@property
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def mesh(self): return self.model.mesh
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@property
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@@ -193,8 +193,8 @@ 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, model, **kwargs):
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BaseRegularization.__init__(self, mesh, model, **kwargs)
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def __init__(self, model, **kwargs):
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BaseRegularization.__init__(self, model, **kwargs)
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@property
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def Ws(self):
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