## What are the different graph Traversals?

The graph has two types of traversal algorithms. These are called the Breadth First Search and Depth First Search.

### How do you traverse all edges on a graph?

There are two standard (and simple) ways of traversing all vertices/edges in a graph in a systematic way: BFS and DFS. Most fundamental algorithms on graphs (e.g finding cycles, connected components) are ap- plications of graph traversal. Like finding the way out of a maze (maze = graph).

#### Can we use BFS for weighted graph?

We know that Breadth–first search (BFS) can be used to find the shortest path in an unweighted graph or a weighted graph having the same cost of all its edges. BFS runs in O(E + V) time, where E is the total number of the edges and V is the total number of vertices in the graph.

**What is graph traversals in data structure?**

Graph traversal is a technique to visit the each nodes of a graph G. It is also use to calculate the order of vertices in traverse process. We visit all the nodes starting from one node which is connected to each other without going into loop.

**What is a weighted graph?**

A weighted graph is a graph with edges labeled by numbers (called weights). In general, we only consider nonnegative edge weights. Sometimes, ∞ can also be allowed as a weight, which in optimization problems generally means we must (or may not) use that edge.

## Can you traverse a graph without maintaining the visited nodes?

A graph is connected if there is a path between every two nodes. However, it is entirely possible to have a graph in which there is no path from one node to another node, even following edges backward.

### Can DFS work on weighted graph?

DFS or BFS on weighted graphs is exactly the same as on unweighted graphs, since both algorithms don’t use any edge weights.

#### What is the difference between Dijkstra and BFS?

BFS calculates the shortest paths in unweighted graphs. On the other hand, Dijkstra’s algorithm calculates the same thing in weighted graphs.

**What is weighted edge?**

A WEIGHTED EDGE is like a tollway; it costs a certain amount to travel along that edge in either direction. An UNWEIGHTED EDGE, on the other hand, is like a freeway. It costs nothing to travel along that edge. Like Directed and Undirected edges, you cannot mix Weighted and Unweighted Edges.

**What is weighted graph example?**

As an example of a weighted graph, imagine you run an airline and you’d like a model to help you estimate fuel costs based on the routes you fly. In this example the nodes would be airports, edges would represent flights between airports, and the edge weight would be the estimated cost of flying between those airports.

## What are tree traversal techniques?

Tree traversal means visiting each node of the tree. The tree is a non-linear data structure, and therefore its traversal is different from other linear data structures. There is only one way to visit each node/element in linear data structures, i.e. starting from the first value and traversing in a linear order.

### Why do we use weighted graphs?

Weighted graphs are used for applications where we need to take into account some cost or measurement between vertices of the graph. For example, the weights can represent the time it costs to travel from one location to another. Or, they can represent a measurement, such as the distance between the locations.

#### Which algorithm is used to traverse a graph?

Two algorithms are generally used for the traversal of a graph: Depth first search (DFS) and Breadth first search (BFS).

**Does DFS visit every edge?**

The runtime of this algorithm is O(|V | + |E|) since each vertex is visited twice (once by iterating through it in the outer loop, another by visiting it in BFS/DFS) and each edge is visited once (in BFS/DFS). The algorithm above does not work with directed graphs.

**What are edge weights?**

Edge Weights. Both Directed and Undirected Edges may be WEIGHTED or UNWEIGHTED. A WEIGHTED EDGE is like a tollway; it costs a certain amount to travel along that edge in either direction. An UNWEIGHTED EDGE, on the other hand, is like a freeway. It costs nothing to travel along that edge.

## Can we find shortest path using DFS in weighted graph?

And so, the only possible way for BFS (or DFS) to find the shortest path in a weighted graph is to search the entire graph and keep recording the minimum distance from source to the destination vertex.

### What are weighted edges in graphs?

#### What is an edge-weighted graph?

Such a graph is called an edge-weighted graph. An example is shown below. Note, the weights involved may represent the lengths of the edges, but they need not always do so. As an example, when describing a neural network, some neurons are more strongly linked than others.

**Which graph has two types of traversal algorithms?**

The following graph can be represented as G ( {A, B, C, D, E}, { (A, B), (B, D), (D, E), (B, C), (C, A)}) The graph has two types of traversal algorithms. These are called the Breadth First Search and Depth First Search. The Breadth First Search (BFS) traversal is an algorithm, which is used to visit all of the nodes of a given graph.

**What is an edge-weighted digraph?**

Not surprisingly, such graphs are called edge-weighted digraphs. Appealing to economics this time for an example, note that a graph could be used to describe the flow of money between a group of individuals in a given time period.

## What are the edges and vertices of a graph?

In some cases, one finds it natural to associate each connection with a direction — such as a graph that describes traffic flow on a network of one-way roads. Here the edges are the roads themselves, while the vertices are the intersections and/or junctions between these roads.