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>NOTE:In the following, the C++ implementations are currently only available on MSVC.
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-A\* search algorithm, CCSP#2.2.5:A single-pair shortest path algorithm. This is a variant of Dijkstra's algorithm using heuristics to try to speed up the search.
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- Bellman-Ford algorithm, CLRS#24.1: [c++](cpp-algorithm/src/cpp-algorithm/src/graph/bellman_ford.h), [java#1](java-algorithm/src/main/java/com/example/algorithm/graph/BellmanFord1.java), [java#2](java-algorithm/src/main/java/com/example/algorithm/graph/BellmanFord2.java) | A single source the shortest path algorithm that can handle negative edge weights. It finds the shortest path from a source vertex to all other vertices in a weighted graph.
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@@ -387,6 +389,8 @@ algorithm Prim(G, root):
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**Examples**
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>NOTE:In the following, the C++ implementations are currently only available on MSVC.
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-Maze problem: [java](java-algorithm/src/main/java/com/example/algorithm/graph/MazeProblem.java) |A maze problem is that find a path from the start to the goal. The maze is represented by a graph. The start and the goal are represented by vertices. The path is represented by a sequence of vertices.
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-Minimum spanning tree (Kruskal, Prim, Boruvka), CLRS#23, CCSP#4.4.2: [python(test)](python-algorithm/algorithm/graph/test/test_minimum_spanning_tree.py) |Find the minimum spanning tree of a graph. cf. Kruskal(CLRS#23.2, CLRS#21.1), Prim(CLRS#23.2)
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