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authorvrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-07-02 09:46:08 +0000
committervrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-07-02 09:46:08 +0000
commit9d1e8bcf6ee35b25a3e02b47a30a0b3cda89461d (patch)
tree9d8eb7e1bf90e8dcc4c3212cfe28312846391809 /src/Bottleneck_distance/include/gudhi/Bottleneck.h
parent4006d0f51dea0bf4234fbdc62b35fe71562293d8 (diff)
parent34d50c272e468e3cf39d18c7e43730274d936acd (diff)
Merge last trunk modifications
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/python_nerve_gic_vincent@3656 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 1f02e2f3b3e716d6578be49437e7d0b33fa99e5b
Diffstat (limited to 'src/Bottleneck_distance/include/gudhi/Bottleneck.h')
-rw-r--r--src/Bottleneck_distance/include/gudhi/Bottleneck.h10
1 files changed, 9 insertions, 1 deletions
diff --git a/src/Bottleneck_distance/include/gudhi/Bottleneck.h b/src/Bottleneck_distance/include/gudhi/Bottleneck.h
index 7aee07bb..b0fc3949 100644
--- a/src/Bottleneck_distance/include/gudhi/Bottleneck.h
+++ b/src/Bottleneck_distance/include/gudhi/Bottleneck.h
@@ -4,7 +4,7 @@
*
* Author: Francois Godi
*
- * Copyright (C) 2015 INRIA
+ * Copyright (C) 2015 Inria
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
@@ -30,6 +30,7 @@
#include <limits> // for numeric_limits
#include <cmath>
+#include <cfloat> // FLT_EVAL_METHOD
namespace Gudhi {
@@ -43,6 +44,13 @@ double bottleneck_distance_approx(Persistence_graph& g, double e) {
Graph_matching biggest_unperfect(g);
while (b_upper_bound - b_lower_bound > 2 * e) {
double step = b_lower_bound + (b_upper_bound - b_lower_bound) / alpha;
+#if !defined FLT_EVAL_METHOD || FLT_EVAL_METHOD < 0 || FLT_EVAL_METHOD > 1
+ // On platforms where double computation is done with excess precision,
+ // we force it to its true precision so the following test is reliable.
+ volatile double drop_excess_precision = step;
+ step = drop_excess_precision;
+ // Alternative: step = CGAL::IA_force_to_double(step);
+#endif
if (step <= b_lower_bound || step >= b_upper_bound) // Avoid precision problem
break;
m.set_r(step);