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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).
What is the best case complexity of quick sort In the best case complexity, the pivot is in the middle.
Program segment for the deletion of any element from the queue delmq(i) /* Delete any element from queue i */ { int i,x; if ( front[i] == rear[i]) printf("Queue is
B i n a ry Search Algorithm is given as follows 1. if (low > high) 2. return (-1) 3. mid = (low +high)/2; 4. if ( X = = a [mid]) 5. return (mid); 6.
1. You are required to hand in both a hard copy and an electronic copy of the written report on the project described in A, including all the diagrams you have drawn. 2. You
Ask question find frequency count of function- {for(i=1;i {for(j=1;j {for(k=1;k } } }
Which sorting methods would be most suitable for sorting a list which is almost sorted Bubble Sorting method.
why the space increase in less time programs
Illustrate an example of algorithm Consider that an algorithm is a sequence of steps, not a program. You might use the same algorithm in different programs, or express same alg
A binary tree in which if all its levels except possibly the last, have the maximum number of nodes and all the nodes at the last level appear as far left as possible, is called as
differentiate between indexing and hashing in file organization
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