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Refactor IRLS iterations, full solves from l2->lp
Adapt Example
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@@ -918,6 +918,7 @@ class Sparse(Simple):
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eps_p = 1e-1 # Threshold value for the model norm
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eps_q = 1e-1 # Threshold value for the model gradient norm
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curModel = None # Requires model to compute the weights
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l2model = None
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gamma = 1. # Model norm scaling to smooth out convergence
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norms = [0., 2., 2., 2.] # Values for norm on (m, dmdx, dmdy, dmdz)
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cell_weights = 1. # Consider overwriting with sensitivity weights
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