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# Graph Traversals

## Graph Traversal

Generally, traversing a graph means visiting all the vertices of the graph exactly once, which can start at any vertex. Several graph traversing algorithms have been developed; I shall discuss two graph traversal algorithms here. The **DFS** and the **BFS.**

## Depth First Search

In DFS we visit the starting vertex V first, then visit all the vertices that lie along a path which begins at V, *i.e.* the vertex immediate adjacent to V (say V_{x}), Next, if V_{x} has any adjacent vertex (say V_{y}), then visit it and continue till there is a dead end. When a vertex is explored down to leaf, we **backtrack** to explore the remaining adjacent vertices and this continues until all vertices are discovered. We use the data structure STACK to traverse in DFS. The idea of this algorithm is to make a path as long as possible, and then backtrack to add branches also as long as possible.

We can also use the DFS traversal for ** topological sorting** of a

*directed acyclic graph*.

## Flowchart

## Breadth First Search

In BFS we start with the starting node A, then we examine all the neighbors of A, then we have to examine all the neighbors of the neighbors of A, and so on. We need to keep track of the neighbors of a node, and this can be done using the data structure QUEUE. First it discovers every vertex adjacent to V, and then systematically for each of those vertices it finds all the vertices adjacent to them.

Informally, we explore all connected vertices and add the visited vertices into queue; next, we remove item from the queue and repeat on the popped item. This is iterated until the queue is empty which makes the traversal complete.

## Flowchart

## Example

## BFS

VISIT starting vertex A

adjacent to A unvisited vertices are B, D, G

VISIT B and ENQUEUE B

VISIT D and ENQUEUE D

VISIT G and ENQUEUE G

DEQUEUE B

adjacent unvisited vertices of B are E, F

VISIT E ad ENQUEUE E

VISIT F and ENQUEUE F

DEQUEUE D

no unvisited adjacent vertices of D remains so DEQUEUE G

no unvisited adjacent vertices of G remains so DEQUEUE E

no unvisited adjacent vertices of E remains so DEQUEUE F

adjacent unvisited vertices of F is C

VISIT C and ENQUEUE C

DEQUEUE C

adjacent unvisited vertices of C is H

VISIT H and ENQUEUE H

DEQUEUE H

there is no unvisited adjacent vertices of H and the Queue is Empty so End

The BFS is __A B D G E F C H__

## DFS

VISIT starting vertex A and PUSH A into STACK

unvisited vertices adjacent to A is B, D, G

we VISIT B and PUSH B

unvisited vertices adjacent to B is E, F

we VISIT E and PUSH E

unvisited vertices adjacent to E is G

so VISIT G and PUSH G

no adjacent unvisited vertices of G remains so POP stack

no adjacent unvisited vertices of E remains so POP stack

unvisited vertices adjacent to B is F

VISIT F and PUSH F

unvisited adjacent to F is C, D

we VISIT C and PUSH C

next, we VISIT H and PUSH H

no adjacent unvisited vertex of H exists so POP stack

no adjacent vertices of C remains unvisited so POP stack

unvisited vertices adjacent to F is D

so, VISIT D and PUSH D into the stack

no adjacent vertices on top of stack remains unvisited so POP the stack

The DFS is __A B E G F C H D__