1.1 --- a/lemon/bellman_ford.h Tue Nov 20 15:06:03 2007 +0000
1.2 +++ b/lemon/bellman_ford.h Tue Nov 20 21:40:55 2007 +0000
1.3 @@ -435,7 +435,7 @@
1.4 /// after each iteration the \ref predMap() map and manually build
1.5 /// the path.
1.6 ///
1.7 - /// \return %True when the algorithm have not found more shorter
1.8 + /// \return \c true when the algorithm have not found more shorter
1.9 /// paths.
1.10 bool processNextRound() {
1.11 for (int i = 0; i < int(_process.size()); ++i) {
1.12 @@ -472,7 +472,7 @@
1.13 /// This function does not make it possible to calculate strictly the
1.14 /// at most k length minimal paths, this is why it is
1.15 /// called just weak round.
1.16 - /// \return %True when the algorithm have not found more shorter paths.
1.17 + /// \return \c true when the algorithm have not found more shorter paths.
1.18 bool processNextWeakRound() {
1.19 for (int i = 0; i < int(_process.size()); ++i) {
1.20 _mask->set(_process[i], false);
1.21 @@ -517,14 +517,15 @@
1.22 /// \brief Executes the algorithm and checks the negative cycles.
1.23 ///
1.24 /// \pre init() must be called and at least one node should be added
1.25 - /// with addSource() before using this function. If there is
1.26 - /// a negative cycle in the graph it gives back false.
1.27 + /// with addSource() before using this function.
1.28 ///
1.29 /// This method runs the %BellmanFord algorithm from the root node(s)
1.30 /// in order to compute the shortest path to each node. The algorithm
1.31 /// computes
1.32 /// - The shortest path tree.
1.33 /// - The distance of each node from the root(s).
1.34 + ///
1.35 + /// \return \c false if there is a negative cycle in the graph.
1.36 bool checkedStart() {
1.37 int num = countNodes(*graph);
1.38 for (int i = 0; i < num; ++i) {