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| author | Marc Glisse <marc.glisse@inria.fr> | 2020-03-07 14:14:45 +0100 |
|---|---|---|
| committer | Marc Glisse <marc.glisse@inria.fr> | 2020-03-07 14:14:45 +0100 |
| commit | 08be68c1fb3c05a35d738eab53712ec6cb4d1ad5 (patch) | |
| tree | e9340c8de961e8bce4cf28785500e3f5a9855998 /src/python/include | |
| parent | 35e08b30836fb0c419c0377eaf51d2a3b16e7670 (diff) | |
[ci skip] Comment
Diffstat (limited to 'src/python/include')
| -rw-r--r-- | src/python/include/Persistent_cohomology_interface.h | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/src/python/include/Persistent_cohomology_interface.h b/src/python/include/Persistent_cohomology_interface.h index 8e721fc0..22d6f654 100644 --- a/src/python/include/Persistent_cohomology_interface.h +++ b/src/python/include/Persistent_cohomology_interface.h @@ -125,6 +125,7 @@ persistent_cohomology::Persistent_cohomology<FilteredComplex, persistent_cohomol } // An alternative, to avoid those different sizes, would be to "pad" vertex generator v as (v, v) or (v, -1). When using it as index, this corresponds to adding the vertex filtration values either on the diagonal of the distance matrix, or as an extra row or column. + // We could also merge the vectors for different dimensions into a single one, with an extra column for the dimension (converted to type double). Generators flag_generators(double min_persistence) { Generators out; // diags[0] should be interpreted as vector<array<int,3>> and other diags[i] as vector<array<int,4>> |