diff options
Diffstat (limited to 'src/Rips_complex/include/gudhi/Sparse_rips_complex.h')
| -rw-r--r-- | src/Rips_complex/include/gudhi/Sparse_rips_complex.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/Rips_complex/include/gudhi/Sparse_rips_complex.h b/src/Rips_complex/include/gudhi/Sparse_rips_complex.h index 44b73930..503a783a 100644 --- a/src/Rips_complex/include/gudhi/Sparse_rips_complex.h +++ b/src/Rips_complex/include/gudhi/Sparse_rips_complex.h @@ -46,7 +46,7 @@ namespace rips_complex { * \ingroup rips_complex * * \details - * This class is used to construct a sparse \f$(1+\epsilon)\f$-approximation of `Rips_complex`, i.e. a filtered simplicial complex that is multiplicatively \f$(1+\epsilon)\f$-interleaved with the Rips filtration. + * This class is used to construct a sparse \f$(1+O(\epsilon))\f$-approximation of `Rips_complex`, i.e. a filtered simplicial complex that is multiplicatively \f$(1+O(\epsilon))\f$-interleaved with the Rips filtration. * * \tparam Filtration_value is the type used to store the filtration values of the simplicial complex. */ @@ -64,8 +64,8 @@ class Sparse_rips_complex { /** \brief Sparse_rips_complex constructor from a list of points. * * @param[in] points Range of points. - * @param[in] distance distance function that returns a `Filtration_value` from 2 given points. - * @param[in] epsilon (1+epsilon) is the desired approximation factor. epsilon must be positive. + * @param[in] distance Distance function that returns a `Filtration_value` from 2 given points. + * @param[in] epsilon Approximation parameter. epsilon must be positive. * */ template<typename RandomAccessPointRange, typename Distance > @@ -85,7 +85,7 @@ class Sparse_rips_complex { * `distance_matrix[i][j]` returns the distance between points \f$i\f$ and * \f$j\f$ as long as \f$ 0 \leqslant i < j \leqslant * distance\_matrix.size().\f$ - * @param[in] epsilon (1+epsilon) is the desired approximation factor. epsilon must be positive. + * @param[in] epsilon Approximation parameter. epsilon must be positive. */ template<typename DistanceMatrix> Sparse_rips_complex(const DistanceMatrix& distance_matrix, double epsilon) |