From a00ce1990b112aa34f72e5504ae0cfe14f11e292 Mon Sep 17 00:00:00 2001 From: albert-github Date: Sun, 22 May 2022 17:58:57 +0200 Subject: Spelling corrections A number of spelling corrections as reported by the codespell (see: https://github.com/codespell-project/codespell) program and lists. Some remarks: - not considered are grammatical errors - not considered are names in the code although there are a number that could be improved (like `childs` -> `children`) - in the documentation it could be made clearer what are variables and what is running text (e.g. by placing variables in running text between backticks) - some comments are in the French language, I think it would be better to have them in the English (United States version). --- src/Persistent_cohomology/benchmark/performance_rips_persistence.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'src/Persistent_cohomology/benchmark') 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 -- cgit v1.2.3