commit a1e2ee55231c8623583b5f8a21ff25e7e0440e24
parent 568f7e813089be18364e9b304ce6de3f0abf4a49
Author: Christophe Coustet <christophe.coustet@meso-star.com>
Date: Wed, 20 May 2020 14:13:24 +0200
Fix typos in man
Diffstat:
3 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/doc/sgreen-input.5.txt b/doc/sgreen-input.5.txt
@@ -87,7 +87,7 @@ AMBIENT = 0
First apply a Green function with volumic power in medium *AL* set to 100 W/m^3^
and temperature of the *Left* boundary set to 300 K. Then apply it with the
-same variables set to 120 and 350 respectively. Finally, apply it whith the
+same variables set to 120 and 350 respectively. Finally, apply it with the
same variables set to 140 and 360 respectively and temperature of the *Right*
boundary set to 380 K.
.......
diff --git a/doc/sgreen-output.5.txt b/doc/sgreen-output.5.txt
@@ -25,7 +25,7 @@ sgreen-output - output format of sgreen(1) results
DESCRIPTION
-----------
The type of the data that are generated depends on the options used when
-*sgreen*(1) is invoked. When invoked with the option *-a*, *sgreen*(1) outputs
+*sgreen*(1) is invoked. When invoked with option *-a*, *sgreen*(1) outputs
Monte-Carlo results, either in extended or compact format, whether option *-e*
is used or not. Also, when invoked whith option *-s* *sgreen*(1) outputs an
HTML file contening a summary of the Green function used.
@@ -33,8 +33,8 @@ HTML file contening a summary of the Green function used.
GRAMMAR
-------
As Green summaries comply with HTML format, that can be found in HTML
-specification documents [1], they will not be further described. Only
-Monte-Carlo results grammar is described in the section.
+specification documents [1], they will not be further described thereafter.
+Only Monte-Carlo results grammar is described in this section.
In what follows, text appearing between quote marks is a verbatim part of the
output, except the quote characters, and text introduced by the *#* character
diff --git a/doc/sgreen.1.txt.in b/doc/sgreen.1.txt.in
@@ -40,7 +40,7 @@ Using this Green function approach, when possible, produces the very same
results as a full Monte-Carlo computation, but only requires a fraction of the
computation time.
-The propagator is of great value for thermicist engineers as it gives some
+The propagator is of great value to thermal engineers as it gives some
crucial information to analyse heat transfers in the system. It helps engineers
answer questions like _"Where from does the heat come at this location?"_.
Propagators seamlessly agregate all the provided geometrical and physical
