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-rw-r--r--ising_scaling.tex4
1 files changed, 3 insertions, 1 deletions
diff --git a/ising_scaling.tex b/ising_scaling.tex
index 035c190..594588b 100644
--- a/ising_scaling.tex
+++ b/ising_scaling.tex
@@ -564,7 +564,9 @@ parametric form evaluated at the same points, $\theta=0$ and $\theta=\theta_0$,
weighted by the uncertainty in the value of the known coefficients or by a
machine-precision cutoff, whichever is larger. We also add the difference
between the predictions for $A_\mathrm{YL}$ and $\xi_\mathrm{YL}$ and their
-known numeric values, again weighted by their uncertainty.
+known numeric values, again weighted by their uncertainty. In order to
+encourage convergence, we also add to the cost the weighted coefficients
+$j!g_j$ and $j!G_j$.
A Levenberg--Marquardt algorithm is performed on the cost function to find a
parameter combination which minimizes it. As larger polynomial order in the