Depth-first search starts a graph’s traversal by visiting an arbitrary vertex and marking it as visited. On each iteration, the algorithm proceeds to an unvisited vertex that is adjacent to the one it is currently in. (If there are several such vertices, a tie can be resolved arbitrarily. As a practical matter, which of the … Read More →
Below is a simple implementation of a graph and breath first search. The key is using a queue to store nodes. 1) Define a GraphNode 2) Define a Queue 3) Breath First Search uses a Queue Output: value: 2 value: 3 value: 5 Find value: 5 value: 4
Graphs A tree only allows a node to have children, and there cannot be any loops in the tree, with a more general graph we can represent many different situations. A very common example used is flight paths between cities. If there is a flight between city A and city B there is an edge … Read More →
- Some Rights Reserved
What’s going on ?