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Step 1: Choose a vertex in the graph and make it the source vertex & mark it visited.
Step 2: Determine a vertex which is adjacent to the source vertex and begun a new search if it is not already visited.
Step 3: Repeat step 2 via a new source vertex. While all adjacent vertices are visited, return to earlier source vertex and continue search from there.
If n refer to the number of vertices in the graph & the graph is represented through an adjacency matrix, then the total time taken to carry out DFS is O(n2). If G is revel by an adjacency list and the number of edges of G are e, then the time taken to carry out DFS is O(e).
Q. In the given figure find the shortest path from A to Z using Dijkstra's Algorithm. Ans: 1. P=φ; T={A,B,C,D,E,F,G,H,I,J,K,L,M,Z} Let L(A)
Q. What is the need of using asymptotic notation in the study of algorithm? Describe the commonly used asymptotic notations and also give their significance.
The most common way to insert nodes to a general tree is to first discover the desired parent of the node you desire to insert, and then insert the node to the parent's child list.
Aa) Come up with an ERD from the following scenario, clearly stating all entities, attributes, relationships before final sketch of the ERD: [50 m
Row Major Representation In memory the primary method of representing two-dimensional array is the row major representation. Under this representation, the primary row of the a
Explain Optimal Binary Search Trees One of the principal application of Binary Search Tree is to execute the operation of searching. If probabilities of searching for elements
The time required to delete a node x from a doubly linked list having n nodes is O (1)
create aset of ten numbers.then you must divide it into two sets numbers which are set of odd numbers and set of even numbers.
How sparse matrix stored in the memory of a computer?
The insertion procedure in a red-black tree is similar to a binary search tree i.e., the insertion proceeds in a similar manner but after insertion of nodes x into the tree T, we c
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