In an undirected graph there is no conception of depth.So DFS can not work without considering depth.
One efficient way to find all cycles in an undirected graph is by using the Depth-First Search (DFS) algorithm. By performing a DFS traversal on the graph and keeping track of the visited nodes and back edges, you can identify and extract all the cycles present in the graph. This method helps in efficiently identifying and listing all the cycles within the graph.
Yes.
The shortest path in an undirected graph is the path between two vertices that has the smallest total sum of edge weights.
In an undirected graph, an edge is an unordered pair of vertices. In a directed graph, an edge is an ordered pair of vertices. The ordering of the vertices implies a direction to the edge, that is that it is traversable in one direction only.
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The minimum spanning tree of an undirected graph g is the smallest tree that connects all the vertices in the graph without forming any cycles. It is a subgraph of the original graph that includes all the vertices and has the minimum possible total edge weight.
n - 1
Tree (since tree is connected acyclic graph)
n-1
In graph theory, the different types of edges are directed edges and undirected edges. Directed edges have a specific direction, while undirected edges do not. The type of edges in a graph impacts the connectivity by determining how nodes are connected and how information flows between them. Directed edges create a one-way connection between nodes, while undirected edges allow for two-way connections. This affects the paths that can be taken between nodes and the overall structure of the graph.
If your graph is undirected, then its adjacency matrix will be symmetric. Faizan
It is a true statement.