It is an algorithm for traversing or searching tree or graph data structures.Question 3Select one:a.spanning treeb.breadth first search c.depth first search.
Question
It is an algorithm for traversing or searching tree or graph data structures.Question 3Select one:a.spanning treeb.breadth first search c.depth first search.
Solution
The answer is b. Breadth First Search. This is an algorithm for traversing or searching tree or graph data structures. It starts at the tree root (or some arbitrary node of a graph, sometimes referred to as a 'search key') and explores the neighbor nodes at the present depth prior to moving on to nodes at the next depth level.
Similar Questions
"The search first begins from the root node and the first one of the child node's sub-tree is completely traversed. That is, first all the one-sided nodes are checked, and then the other sided nodes are checked."Which search algorithm is described in the above definition?1 pointThe Breadth First Search (BFS)The Depth First Search (DFS)The A* searchNone of the aboveOther:
The result of a depth-first search of a graph can be conveniently described in terms of a spanning tree of the vertices reached during the search. Based on this spanning tree, the edges of the original graph can be divided into three classes: forward edges, which point from a node of the tree to one of its descendants, back edges, which point from a node to one of its ancestors, and cross edges, which do neither. Sometimes tree edges, edges which belong to the spanning tree itself, are classified separately from forward edges. If the original graph is undirected then all of its edges are tree edges or back edges.
Which data structure is used in breadth first search of a graph to hold nodes?a.Arrayb.Queuec.Treed.Stack
The Data structure used in standard implementation of Breadth First Search is?Group of answer choicesStackTreeQueueLinked List
What is the role of Breadth-First Search (BFS) in graph traversal?
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.