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authorDouglas B. Rumbaugh <doug@douglasrumbaugh.com>2025-07-06 17:20:34 -0400
committerDouglas B. Rumbaugh <doug@douglasrumbaugh.com>2025-07-06 17:20:34 -0400
commit0fff4753fac809a6ba17f428df3a041cebe692e0 (patch)
treee9a2fc2bd87e48551e6ca3580bac1fa7bd0496af /chapters/sigmod23
parentda08d6025eb81b95200284632d8c0a8daf0612f2 (diff)
downloaddissertation-0fff4753fac809a6ba17f428df3a041cebe692e0.tar.gz
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diff --git a/chapters/sigmod23/framework.tex b/chapters/sigmod23/framework.tex
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@@ -496,11 +496,11 @@ be taken to obtain a sample set of size $k$.
\label{ssec:sampling-design-space}
The final of the desiderata referenced earlier in this chapter for our
-dynamized sampling indices is having tunable performance. The base
+dynamized sampling indices is having tuneable performance. The base
Bentley-Saxe method has a highly rigid reconstruction policy that,
while theoretically convenient, does not lend itself to performance
tuning. However, it can be readily modified to form a more relaxed policy
-that is both tunable, and generally more performant, at the cost of some
+that is both tuneable, and generally more performant, at the cost of some
additional theoretical complexity. There has been some theoretical work
in this area, based upon nesting instances of the equal block method
within the Bentley-Saxe method~\cite{overmars81}, but these methods are