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diff doc/interpreter/vectorize.txi @ 32489:a4506463f341 stable

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doc: grammarcheck Octave manual before 9.1 release. * doc/interpreter/func.txi, doc/interpreter/numbers.txi, doc/interpreter/octave.texi, doc/interpreter/plot.txi, doc/interpreter/sparse.txi, doc/interpreter/vectorize.txi, scripts/miscellaneous/jupyter_notebook.m, scripts/plot/draw/stemleaf.m: grammarcheck Octave manual before 9.1 release.
author Rik <rik@octave.org>
date Thu, 23 Nov 2023 20:30:44 -0800
parents ffc410f26506
children 386d05bbae5a
line wrap: on
line diff
--- a/doc/interpreter/vectorize.txi	Thu Nov 23 19:42:27 2023 -0800
+++ b/doc/interpreter/vectorize.txi	Thu Nov 23 20:30:44 2023 -0800
@@ -344,8 +344,8 @@
 
 A special case of broadcasting that may be familiar is when all
 dimensions of the array being broadcast are 1, i.e., the array is a
-scalar.  Thus for example, operations like @code{x - 42} and @code{max
-(x, 2)} are basic examples of broadcasting.
+scalar.  Thus, for example, operations like @code{x - 42} and
+@code{max (x, 2)} are basic examples of broadcasting.
 
 For a higher-dimensional example, suppose @code{img} is an RGB image of
 size @code{[m n 3]} and we wish to multiply each color by a different