In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized.

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## What is shortest route problem in operations research?

In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized.

**What is the shortest route technique?**

The objective of the shortest-route problem is to find the shortest distance from one location to another. In a network, this often involves determining the shortest route from one node to each of the other nodes. The shortest-route technique minimizes the distance through a network.

**How do you find the shortest path in BFS?**

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 is shortest path analysis?

INTRODUCTION Shortest path analysis finds the path with the minimum cumulative impedance between nodes on a network. The path may connect just two nodes an origin and a destination or have specific stops between the nodes.

**Which is the best shortest path algorithm?**

What Is the Best Shortest Path Algorithm?

- Dijkstra’s Algorithm. Dijkstra’s Algorithm stands out from the rest due to its ability to find the shortest path from one node to every other node within the same graph data structure.
- Bellman-Ford Algorithm.
- Floyd-Warshall Algorithm.
- Johnson’s Algorithm.
- Final Note.

**Which shortest path algorithm is best?**

## Does DFS find shortest path?

Depth-First Search (DFS) This is probably the simplest algorithm to get the shortest path.

**Why is the shortest path important?**

Abstract. Finding the shortest path (SP) in a large-scale network analysis between any two nodes is a tough but very significant task. The SP can help us to analyze the information spreading performance and research the latent relationship in the weighted social network, and so on.

**What is shortest path algorithm explain with example?**

The target of shortest path algorithms is to find a route between any pair of vertices along the edges, so the sum of weights of edges is minimum. If the edges are of equal weights, the shortest path algorithm aims to find a route having minimum number of hops.

### Where shortest path algorithm is used?

The shortest path is often used in SNA (Social Network Analysis) to calculate betweenness centrality among others. Usually people with the strongest bonds tend to communicate through the shortest path. Knowing in a graph the shortest path between people (nodes) can let you know hidden strong bonds.

**Which gives shortest path BFS or DFS?**

BFS is optimal for finding the shortest path. DFS is not optimal for finding the shortest path.

**Which one is faster BFS or DFS?**

BFS is slower than DFS. DFS is faster than BFS. Time Complexity of BFS = O(V+E) where V is vertices and E is edges. Time Complexity of DFS is also O(V+E) where V is vertices and E is edges.

## What are the types of shortest path problems?

There are two main types of shortest path algorithms, single-source and all-pairs.

**Where is shortest path algorithm used?**

Shortest path algorithms have many applications. As noted earlier, mapping software like Google or Apple maps makes use of shortest path algorithms. They are also important for road network, operations, and logistics research. Shortest path algorithms are also very important for computer networks, like the Internet.

**Is DFS the shortest path?**

### Can DFS find shortest path?

A) Dfs also can solve shortest path (also, smallest weighted path). The only cons would be the exponential time complexity arising from multiple edges revisiting already visited nodes.

**What is BSF and DSF?**

DFS stands for Depth First Search. 2. Data Structure. BFS(Breadth First Search) uses Queue data structure for finding the shortest path. DFS(Depth First Search) uses Stack data structure.

**Does BFS or DFS find shortest path?**

BFS finds the shortest path to the destination whereas DFS goes to the bottom of a subtree, then backtracks. The full form of BFS is Breadth-First Search while the full form of DFS is Depth First Search.

## Which is faster DFS or BFS?

DFS is faster than BFS. Time Complexity of BFS = O(V+E) where V is vertices and E is edges. Time Complexity of DFS is also O(V+E) where V is vertices and E is edges.