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authorVincent Rouvreau <10407034+VincentRouvreau@users.noreply.github.com>2022-06-08 09:20:18 +0200
committerGitHub <noreply@github.com>2022-06-08 09:20:18 +0200
commitf045b0fe772e2c690d80aebcd31734700790c8a8 (patch)
tree627e41947a1ff275c92441a8b953b829d8311d70 /src/Persistent_cohomology/benchmark
parent91b21f6cfdf8e225070514c34bd6fcae296e3d52 (diff)
parente66ad01ed9fefd2fd4584c5e7928f808e3f257f5 (diff)
Merge branch 'master' into feature/bug_class_diagrams
Diffstat (limited to 'src/Persistent_cohomology/benchmark')
-rw-r--r--src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp2
1 files changed, 1 insertions, 1 deletions
diff --git a/src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp b/src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp
index 030b072a..3bec8830 100644
--- a/src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp
+++ b/src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp
@@ -49,7 +49,7 @@ void timing_persistence(FilteredComplex & cpx
* with a Hasse diagram. The Hasse diagram represents explicitly all
* codimension 1 incidence relations in the complex, and hence leads to
* a faster computation of persistence because boundaries are precomputed.
- * Hovewer, the simplex tree may be constructed directly from a point cloud and
+ * However, the simplex tree may be constructed directly from a point cloud and
* is more compact.
* We compute persistent homology with coefficient fields Z/2Z and Z/1223Z.
* We present also timings for the computation of multi-field persistent