From a6b68b216a35268bb0bc6bf853ba38b7f1e3db0e Mon Sep 17 00:00:00 2001
From: Jaron Kent-Dobias <jaron@kent-dobias.com>
Date: Mon, 25 Oct 2021 14:24:49 +0200
Subject: More fully describe the fit.

---
 ising_scaling.tex | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

(limited to 'ising_scaling.tex')

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
-- 
cgit v1.2.3-54-g00ecf

