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Can anybody help me with the code for a recursive Breadth First Search  Traversal-routine for a graph?
I only need a Pseudocode.
My textbook says it's hard, but I'm too lazy to make that queue-ADT ;)
Thanks!

(Sorry, forgot to mention the recursive-part)
0
tryso
1 Solution

Commented:
See http://yoda.cis.temple.edu:8080/UGAIWWW/books/shoham/chapter2/section2.5.html
or this:

Here is an implementation of breadth--first search. Notice that a queue is used instead of a stack; otherwise, this routine is virtually identical to the second implementation of depth--first search:

tree_type
bfs_queue(tree_type tree, BOOL (*predicate)(tree_type))
{
queue_type queue = create_queue();
tree_type guess;

enqueue(tree, queue);
while (empty_(queue) == FALSE)
{
guess = dequeue(queue);
if (empty_tree(guess) == TRUE)
continue;
if (predicate(guess) == TRUE)
return guess;
enqueue(left_child(guess), queue);
enqueue(right_child(guess), queue);
}
return the_empty_tree;
}
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Commented:
C in the Delphi area? ;-) just listening...
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Author Commented:
That is an iterative algorithm..
...I need a recursive one.
(as many childs as you want.. but that's no problem)
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Author Commented:
Edited text of question.
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Commented:
I don't see what language it was. But it pass for opcode. :)
Ok, I think recursive one by another kind of opcode will look like this:

marks: array[0..N] of boolean;
{marks := (FALSE,...,FALSE) }
function bfs_queue(nodenr: integer):integer;
begin
marks[nodenr] := true;
if predicate(nodenr) then
return nodenr;

if( exist(neighbour(nodenr))
begin
neighbourNr := neighbour(nodenr);
if not marks[neighbourNr] then
begin
if predicate(neighbourNr) then
return neighbourNr;
marks[neighbourNr] := true;
res := bfs_queue(nodenr);
if res > 0 then return res;
marks[neighbourNr] := false;
res := bfs_queue(neighbourNr);
return res;
end;
end;
return 0;
end;
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Author Commented:
Um, might be just fine, but I'm using an adjacency List..
They are also weighted.
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Commented:
I don't think it's possible to do breadth first search recursivley.  I think if you tried, you would end up doing a depth first search.

I can give you a recursive algorithm for DFS if you want?

Dave.
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Author Commented:
Hi,
I've solved the problem semi-satisfactory with a DFS algorithm. I know that it is possible to do a recursive BFS-algorithm because my textbook leaves it to the reader to make a pseudocode for such an algo (although it stresses that it's a difficult task).
I'm not 100% sure wheter Serega solved the problem or not since I used an adjacancy list instead of an adjacancy matrix, but I'll look into it shortly, and think it's fair that he gets the points, taking into account that he at least came very close (and I guess there is no big task to convert from matrix to linked lists..).
Thank you all! :)
- T -

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