I want to store a graph of millions of nodes where each node links to another in an undirected manner (point A to B, automatically B points to A). I have examined Neo4j, OrientDB as possible solutions
void traverse(Node* root) { queue<Node*> q; Node* temp_node= root; while(temp_node) { cout<<temp_node->value<<endl;
I want to generate a BFS forest of of a DAG (Direct Acyclic Graph). This means my Tree class needs to be a general tree and not a binary tree (in other words, I can\'t know the number of children a no
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I\'m working alone on this project and could use another set of eyes to look at this to see what I am doing wrong. The first loop runs infinitely.
I understand BFS, and DFS, but for the life of me cannot figure out the difference between iterative deepening and BFS. Apparently Iterative deepening开发者_Python百科 has the same memory usage as DFS
Here is a java code for breadth-first travel: void breadthFirstNonRecursive(){ Queue<Node> queue = new java.util.LinkedList<Node>();
Predominantly DFS is used to find a cycle in graphs and not BFS. Any reasons? Both can find if a node has开发者_JS百科 already been
Say I have the following Haskell tree type, where \"State\" is a simple wrapper: data Tree a = Branch (State a) [Tree a]
Wikipedia about Depth First Search: Depth-first search (DFS) is an algorithm for traversin开发者_开发百科g or searching
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