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-rw-r--r--src/Contraction/example/Rips_contraction.cpp2
-rw-r--r--src/Contraction/include/gudhi/Edge_contraction.h2
2 files changed, 2 insertions, 2 deletions
diff --git a/src/Contraction/example/Rips_contraction.cpp b/src/Contraction/example/Rips_contraction.cpp
index 42dd0910..547c290e 100644
--- a/src/Contraction/example/Rips_contraction.cpp
+++ b/src/Contraction/example/Rips_contraction.cpp
@@ -39,7 +39,7 @@ void build_rips(ComplexType& complex, double offset) {
int main(int argc, char *argv[]) {
if (argc != 3) {
std::cerr << "Usage " << argv[0] << " ../../../data/meshes/SO3_10000.off 0.3 to load the file " <<
- "../../data/SO3_10000.off and contract the Rips complex built with paremeter 0.3.\n";
+ "../../data/SO3_10000.off and contract the Rips complex built with parameter 0.3.\n";
return -1;
}
diff --git a/src/Contraction/include/gudhi/Edge_contraction.h b/src/Contraction/include/gudhi/Edge_contraction.h
index 0b43c3b3..dff6dc14 100644
--- a/src/Contraction/include/gudhi/Edge_contraction.h
+++ b/src/Contraction/include/gudhi/Edge_contraction.h
@@ -48,7 +48,7 @@ Therefore, the simplification can be done without enumerating the set of simplic
A typical application of this package is homology group computation. It is illustrated in the next figure where a Rips complex is built upon a set of high-dimensional points and
simplified with edge contractions.
-It has initially a big number of simplices (around 20 millions) but simplifying it to a much reduced form with only 15 vertices (and 714 simplices) takes only few seconds on a desktop machine (see the example bellow).
+It has initially a big number of simplices (around 20 millions) but simplifying it to a much reduced form with only 15 vertices (and 714 simplices) takes only few seconds on a desktop machine (see the example below).
One can then compute homology group with a simplicial complex having very few simplices instead of running the homology algorithm on the much bigger initial set of
simplices which would take much more time and memory.