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Diffstat (limited to 'libs/geometry/doc/index/introduction.qbk')
| -rw-r--r-- | libs/geometry/doc/index/introduction.qbk | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/libs/geometry/doc/index/introduction.qbk b/libs/geometry/doc/index/introduction.qbk index daf2e39f3..e0c5b03e0 100644 --- a/libs/geometry/doc/index/introduction.qbk +++ b/libs/geometry/doc/index/introduction.qbk @@ -56,8 +56,10 @@ The examples of structures of trees created by use of different algorithms and e [[*100k knn queries*] [6.37s] [2.09s] [0.64s] [0.52s]] ] +The configuration of the machine used for testing was: /Intel(R) Core(TM) i7 870 @ 2.93GHz, 8GB RAM, MS Windows 7 x64/. +The code was compiled with optimization for speed (`O2`). + The performance of the R-tree for different values of Max parameter and Min=0.5*Max is presented in the table below. -The configuration of the machine used for testing is: /Intel(R) Core(TM) i7 870 @ 2.93GHz, 8GB RAM, MS Windows 7 x64/. In the two upper figures you can see the performance of the __rtree__ storing random, relatively small, non-overlapping, 2d boxes. In the lower ones, the performance of the __rtree__ also storing random, 2d boxes, but this time quite big and possibly overlapping. As you can see, the __rtree__ performance is different in both cases. |