|
8 | 8 | msgstr "" |
9 | 9 | "Project-Id-Version: pgRouting v4.0\n" |
10 | 10 | "Report-Msgid-Bugs-To: \n" |
11 | | -"POT-Creation-Date: 2025-06-14 12:05+0000\n" |
| 11 | +"POT-Creation-Date: 2025-06-16 16:56+0000\n" |
12 | 12 | "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n" |
13 | 13 | "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n" |
14 | 14 | "Language-Team: LANGUAGE <LL@li.org>\n" |
@@ -3628,6 +3628,9 @@ msgstr "" |
3628 | 3628 | msgid "`#2907 <https://github.com/pgRouting/pgrouting/issues/2907>`__ pgr_bellmanFord" |
3629 | 3629 | msgstr "" |
3630 | 3630 |
|
| 3631 | +msgid "`#2908 <https://github.com/pgRouting/pgrouting/issues/2908>`__ pgr_binaryBreadthFirstSearch" |
| 3632 | +msgstr "" |
| 3633 | + |
3631 | 3634 | msgid "`#2910 <https://github.com/pgRouting/pgrouting/issues/2910>`__ pgr_edwardMoore" |
3632 | 3635 | msgstr "" |
3633 | 3636 |
|
@@ -4003,6 +4006,9 @@ msgstr "" |
4003 | 4006 | msgid ":doc:`pgr_bellmanFord` [3]_" |
4004 | 4007 | msgstr "" |
4005 | 4008 |
|
| 4009 | +msgid ":doc:`pgr_binaryBreadthFirstSearch` [3]_" |
| 4010 | +msgstr "" |
| 4011 | + |
4006 | 4012 | msgid ":doc:`pgr_dagShortestPath` [3]_" |
4007 | 4013 | msgstr "" |
4008 | 4014 |
|
@@ -7744,7 +7750,7 @@ msgstr "" |
7744 | 7750 | msgid "pgr_binaryBreadthFirstSearch(Combinations)" |
7745 | 7751 | msgstr "" |
7746 | 7752 |
|
7747 | | -msgid "It is well-known that the shortest paths between a single source and all other vertices can be found using Breadth First Search in :math:`O(|E|)` in an unweighted graph, i.e. the distance is the minimal number of edges that you need to traverse from the source to another vertex. We can interpret such a graph also as a weighted graph, where every edge has the weight :math:`1`. If not alledges in graph have the same weight, that we need a more general algorithm, like Dijkstra's Algorithm which runs in :math:`O(|E|log|V|)` time." |
| 7753 | +msgid "It is well-known that the shortest paths between a single source and all other vertices can be found using Breadth First Search in :math:`O(|E|)` in an unweighted graph, i.e. the distance is the minimal number of edges that you need to traverse from the source to another vertex. We can interpret such a graph also as a weighted graph, where every edge has the weight :math:`1`. If not all edges in graph have the same weight, that we need a more general algorithm, like Dijkstra's Algorithm which runs in :math:`O(|E|log|V|)` time." |
7748 | 7754 | msgstr "" |
7749 | 7755 |
|
7750 | 7756 | msgid "However if the weights are more constrained, we can use a faster algorithm. This algorithm, termed as 'Binary Breadth First Search' as well as '0-1 BFS', is a variation of the standard Breadth First Search problem to solve the SSSP (single-source shortest path) problem in :math:`O(|E|)`, if the weights of each edge belongs to the set {0,X}, where 'X' is any non-negative real integer." |
@@ -7774,15 +7780,6 @@ msgstr "" |
7774 | 7780 | msgid "**Note:** Using the :doc:`sampledata` Network as all weights are same (i.e :math:`1``)" |
7775 | 7781 | msgstr "" |
7776 | 7782 |
|
7777 | | -msgid "Returns set of |result-1-1|" |
7778 | | -msgstr "" |
7779 | | - |
7780 | | -msgid "Returns set of |result-1-m|" |
7781 | | -msgstr "" |
7782 | | - |
7783 | | -msgid "Returns set of |result-m-1|" |
7784 | | -msgstr "" |
7785 | | - |
7786 | 7783 | msgid "`Boost: Breadth First Search <https://www.boost.org/libs/graph/doc/breadth_first_search.html>`__" |
7787 | 7784 | msgstr "" |
7788 | 7785 |
|
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