Shortest Path in Graph
BFS searching shortest path
Well done! Now, let's implement a method that helps us to find the length of shortest path between two vertices, i. e. minimum number of edges to reach end
vertice from start
.
You should store the length of the way from start
to curr
node, and you can do it by modifying visited
array: visited[i]
equals:
-
-1, if
i
not visited yet -
0, if
i
is visited as first node -
1, if
i
is a neighbor of node, that has mark0
-
k, if
i
is a neighbor of node with mark k-1 etc.
This way, you'll store the distance between start
and current
node, like at the example:
So, the answer is a visited[end]
.
Swipe to start coding
bfs(start, end)
returns a number of edges between start
and end
nodes. If there is no path, return -1
.
Actually this method does traverse as BFT method, but until the end
vertex is found. Copy & Paste your BFT algorithm, and add some changes.
Tack för dina kommentarer!
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Shortest Path in Graph
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BFS searching shortest path
Well done! Now, let's implement a method that helps us to find the length of shortest path between two vertices, i. e. minimum number of edges to reach end
vertice from start
.
You should store the length of the way from start
to curr
node, and you can do it by modifying visited
array: visited[i]
equals:
-
-1, if
i
not visited yet -
0, if
i
is visited as first node -
1, if
i
is a neighbor of node, that has mark0
-
k, if
i
is a neighbor of node with mark k-1 etc.
This way, you'll store the distance between start
and current
node, like at the example:
So, the answer is a visited[end]
.
Swipe to start coding
bfs(start, end)
returns a number of edges between start
and end
nodes. If there is no path, return -1
.
Actually this method does traverse as BFT method, but until the end
vertex is found. Copy & Paste your BFT algorithm, and add some changes.
Tack för dina kommentarer!
Awesome!
Completion rate improved to 7.69single