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  1. Given a graph, we can use the O (V+E) DFS (Depth-First Search) or BFS (Breadth-First Search) algorithm to traverse the graph and explore the features/properties of the graph.

    • Remember

      Given a graph, we can use the O(V+E) DFS (Depth-First...

    • DFS Earlier

      Given a graph, we can use the O(V+E) DFS (Depth-First...

    • Queue

      Linked List is a data structure consisting of a group of...

    • Binary Search Tree

      A Binary Search Tree (BST) is a specialized type of binary...

    • Binary Heap

      A Binary (Max) Heap is a complete binary tree that maintains...

    • Adjacency List

      An undirected graph G is called connected if there is a path...

    • Matching

      A Matching in a graph G = (V, E) is a subset M of E edges in...

    • Dynamic Programming

      This visualization can visualize the recursion tree of any...

  2. 7 kwi 2016 · Depth First Search has a time complexity of O(b^m), where b is the maximum branching factor of the search tree and m is the maximum depth of the state space. Terrible if m is much larger than d, but if search tree is "bushy", may be much faster than Breadth First Search.

  3. In this lecture, we compare breath- rst search (BFS) and depth- rst search (DFS), two ways to traverse a graph, and study their applications. 11.1 Applications of Depth-First Search

  4. This implementation extends the graph class by adding a time instance variable and the two methods dfs and dfsvisit. Looking at line 11 you will notice that the dfs method iterates over all of the vertices in the graph calling dfsvisit on the nodes that are white.

  5. In a DFS, we can assign two timestamps to each vertex that show when the vertex receives its white and red pebble. The time at which a vertex receives its white pebble is called the discovery

  6. A Visual Guide to Graph Traversal Algorithms by Workshape.io. Interactive visualisations help explain Depth First Search and Breadth First Search as well as algorithms based upon each approach. A very useful resource for learning by seeing.

  7. Depth-First Search. Start Vertex: Directed Graph. Undirected Graph. Small Graph. Large Graph. Logical Representation.

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