basic graph search algorithms - Search
    • â—Ž These algorithms specify an order to search through the nodes of a graph. â—Ž We start at the source node and keep searching until we find the target node. â—Ž The frontier contains nodes that we've seen b… See more

    Discussion

    ◎ Does BFS necessarily return the shortest path? ◉ Note that BFS explores nodes in the … See more

    Stanford Computer Sci…
    Greedy Best First Search

    Every step, Greedy Best First moves in the direction of the target. A greedy algorithm is one that chooses the best-looking option at each step. See more

    Stanford Computer Science
    Greedy Best First Algorithm

    ◎ Recall: BFS and DFS pick the next node off the frontier based on which was "first in" or "last in". ◎ Greedy Best First picks the "best" node according to some rule of thumb, call… See more

    Stanford Computer Science
    Heuristics for Greedy Best First

    ◎ We want a heuristic: a measure of how close we are to the target. A A heuristic should be easy to compute. ◎ Try Euclidean distance or Manhattan distance. ◎ These a… See more

    Stanford Computer Science
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  2. Breadth-first search (BFS) and Depth-first search (DFS)
    Basic graph search algorithms In the realm of graph search algorithms, two fundamental techniques stand out: Breadth-first search (BFS) and Depth-first search (DFS). These algorithms provide crucial building blocks for traversing and exploring graphs in different ways.
    There are two basic types of searches in a graph: breadth-first search (BFS) and depth-first search (DFS). Both of them produce a spanning tree/forest on undirected graphs.
     
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