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authoraarne <unknown>2004-09-26 16:10:04 +0000
committeraarne <unknown>2004-09-26 16:10:04 +0000
commitee213edb8849a985b61f4ef735ce06e6a01aad70 (patch)
tree6196269013d957a8ff52ec86f9cb6ba81b29139c /examples
parentf5519f77eb26e5030e35d8e4660295f21f065cf1 (diff)
2 typos
Diffstat (limited to 'examples')
-rw-r--r--examples/gfcc/complin.tex4
1 files changed, 2 insertions, 2 deletions
diff --git a/examples/gfcc/complin.tex b/examples/gfcc/complin.tex
index 30b4908ef..324c97e11 100644
--- a/examples/gfcc/complin.tex
+++ b/examples/gfcc/complin.tex
@@ -505,7 +505,7 @@ constituents. The linearization of such a constituent
is compositionally defined to be the record linearizing the body
extended with fields for each of the variable symbols:
\[
-\sugmap{\lambda x_{0} \rarrow \cdots \rarrow \lambda x_{n} \rarrow b}
+\sugmap{(\lambda x_{0} \rarrow \cdots \rarrow \lambda x_{n} \rarrow b)}
\;=\;
\sugmap{b} *\!* \{\$_{0} = \sugmap{x_{0}} ; \ldots ; \$_{n} = \sugmap{x_{n}}\}
\]
@@ -747,7 +747,7 @@ in Appendix C, we do not treat symbol tables
in linearization, but instead generated code in
\empha{Symbolic JVM}---that is, JVM with symbolic addresses.
Therefore we need a postprocessor that resolves the symbolic addresses,
-shown in Appendix D.
+shown in Appendix E.
To make the postprocessor straightforward,
Symbolic JVM has special \texttt{alloc} instructions,