Depth First Search Algorithm Assignment Help

We provide the great opportunity to bring out your doubt which is a reflection of various facets of your Depth First Search Algorithm Assignment Help activities. We have it would infuse a great zeal and interest among the students who have shown their inner potentialities in the form of their expression. Our teaching style or our expert is very friendly and keen interest and co-operation which has converted this effort into a success. Our online training fulfills or even exceeds national content standards in most subject areas.  

ABC Assignment Help is a reputable junction where a number of scholars come for help and we make sure that they get complete value for money services. 

We know how much it is for scholars to score well in the assignments as it covers most part of the grading system. Our online Depth First Search Algorithm Assignment Help experts have complete know-how and expertise in the subject to help with one of the best services which reward with better grades and academic life. Our online Depth First Search Algorithm Assignment Help experts are available day and night to make sure they listen to your doubts and problems and help you with immediate effect.


What is DFS (Depth First Search) Algorithm?

- Depth first search(DFS) is a generalization of preorder traversal.

- Preorder traversal Depth First Search Algorithm Assignment Help  ie, visit root, visit left subtree, visit right subtree

DFS(G) // take a graph of the Depth First Search algo is
1: each vertex (u E V[G]) //initialize all vertices as follows
2: do colour[u] <- grey
3: pi[u] <- NIL// initialize all vertices to having no parent vertex
4: tm <- 0 // Zero out time
5: for each vertex (u E V[ G ] //initialize all vertices as follows
6: do if colour[ u ] = 'grey'' 
7: then, depth_first_serch_visit( u )

depth_first_serch_visit( u )
1: colour[ u ] <- white
2: tm <- (tm + 1) //tm = time
3: P[ u ] tm 
4: for each v E Adj[ u ]=> Explore edge(u, v)
5: do if colour[ v ] = gray
6: then pi[ v ] <- u 
7: DFS_VISIT( v )
8: colour[ u ] BLACK => blacken u; it is finished
9: f[ u ]: tm <- (tm + 1)

Example:  Find the shortest sequence of dfs on the given graph, The vertices of the depth first search sequence is Q, R, S, T, U, V, W, X, Y, Z. where the initial state is ‘Q’ and the desired goal state is ‘W’, show the successive values of open and closed and the traversed path.

Iteration #xOpen Closed
0-[ Q ][ ]
1Q[ R S T][A]
2R[U V S T][R Q]
3U[X Y V ST][U R Q]
4X[Y V S T][X U R Q]
5Y[V S T][Y X U R Q]
6V[Z S T][V Y X U R Q]
7Z[S T][Z V Y X U R Q]
8S[W T][S Z V Y X U R Q]