From ec228f211bd29661951c397fea55f934ab6369ac Mon Sep 17 00:00:00 2001 From: mcarrier Date: Tue, 10 Oct 2017 09:33:05 +0000 Subject: git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/Nerve_GIC@2773 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 612752759605fd5988f13c667f77fffa838b687d --- src/Nerve_GIC/doc/Intro_graph_induced_complex.h | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) (limited to 'src/Nerve_GIC/doc') diff --git a/src/Nerve_GIC/doc/Intro_graph_induced_complex.h b/src/Nerve_GIC/doc/Intro_graph_induced_complex.h index 339c1284..746baa44 100644 --- a/src/Nerve_GIC/doc/Intro_graph_induced_complex.h +++ b/src/Nerve_GIC/doc/Intro_graph_induced_complex.h @@ -132,12 +132,12 @@ namespace graph_induced_complex { * * \subsection functionalGICexample Example * - * Functional GIC comes with optimal selection for the Rips threshold, - * the resolution and the gain of the function cover. In this example, + * Functional GIC comes with automatic selection of the Rips threshold, + * the resolution and the gain of the function cover. See \cite Carriere17c for more details. In this example, * we compute the functional GIC of a Klein bottle embedded in R^5, - * where the graph G comes from a Rips complex with optimal threshold, + * where the graph G comes from a Rips complex with automatic threshold, * and the cover C comes from the preimages of intervals covering the first coordinate, - * with optimal resolution and gain. Note that optimal threshold, resolution and gain + * with automatic resolution and gain. Note that automatic threshold, resolution and gain * can be computed as well for the Nerve. * * \include Nerve_GIC/CoordGIC.cpp -- cgit v1.2.3