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author | Gard Spreemann <gspr@nonempty.org> | 2023-01-20 13:47:30 +0100 |
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committer | Gard Spreemann <gspr@nonempty.org> | 2023-01-20 13:47:30 +0100 |
commit | 688cbc5c29d0a6aaf233eee185a06cef5cb2e745 (patch) | |
tree | cb13b84e9f7cddea48b903d24014f63d1dfda7e3 /src/Contraction | |
parent | 2b3caf86fc6500a9fca9e9085012a2315fbbac3b (diff) | |
parent | ed492f09ca3c9d7cd972bbbbec37f680cd624fbe (diff) |
Merge tag 'tags/gudhi-release-3.7.1' into dfsg/latestdfsg/latest
Diffstat (limited to 'src/Contraction')
-rw-r--r-- | src/Contraction/example/Rips_contraction.cpp | 2 | ||||
-rw-r--r-- | src/Contraction/include/gudhi/Edge_contraction.h | 2 |
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. |