Edge Types With DFS traversal of Graph, only some edges will be traversed. These edges will form a tree, called the depth-first-search tree starting at the given root, and the edges in this tree are called tree edges. We can classify the various edges of the graph based on the color of the node reached when DFS follows the edge.
The analysis of the non-recursive version of Depth First Search is identical to Breadth First Search. We first consider a rough analysis of the algorithm in order to develop some intuition. We then build on this analysis to provide a more accurate estimate. Here is the pseudocode for the algorithm along with the estimated time complexity for each line: The time
Prim Algorithm Prim’s algorithm constructs a minimum spanning tree for the graph, which is a tree that connects all nodes in the graph and has the least total cost among all trees that connect all the nodes. However, the length of a path between any two nodes in the MST might not be the shortest path between those two nodes
Introduction Graphs are of two kinds on the basis of the way edges are directed. In Undirected graph all the edges go forward as well as backward between two vertices. In Directed graph edges between two vertices are directional. Algorithm For Detecting Cycle To detect cycles using DFS, use two colors in a undirected graph and three colors in directed
A Hamiltonian path (or traceable path) is a path in an undirected or directed graph that visits each vertex exactly once. A graph that contains a Hamiltonian path is called a traceable graph. A graph is Hamiltonian-connected if for every pair of vertices there is a Hamiltonian path between the two vertices. A Hamiltonian cycle, Hamiltonian circuit, vertex tour or
Graph can be traversed using Depth First Traversal or DFS Breadth First Traversal or BFS Depth First Traversal or DFS for a Graph The DFS algorithm is a recursive algorithm that uses the idea of backtracking. It involves exhaustive searches of all the nodes by going ahead, if possible, else by backtracking. Here, the word backtrack means that when you
Introduction A graph is a pictorial representation of a set of objects where some pairs of objects are connected by links. The interconnected objects are represented by points termed as Vertices, and the links that connect the vertices are called Edges. It consists of following two components: A finite set of vertices also called as nodes.A finite set of ordered pair