Table of Contents

## How do you find the shortest path in a tree?

How to find the shortest simple path in a Tree in a linear time?

- Traverse tree (depth-first)
- Keep the indexes (nodes)
- add the values.
- do (1) till the end of tree.
- compare the sum and print the path and sum.

## Can we use Dijkstra for directed graph?

You can use Dijkstra’s algorithm in both directed and undirected graphs, because you simply add nodes into the PriorityQueue when you have an edge to travel to from your adjacency list.

**How do you find the shortest path in a weighted directed graph?**

Following is complete algorithm for finding shortest distances.

- 1) Initialize dist[] = {INF, INF, ….} and dist[s] = 0 where s is the source vertex.
- 2) Create a topological order of all vertices.
- 3) Do following for every vertex u in topological order. ………..Do following for every adjacent vertex v of u.

**What is Dag with example?**

Directed Acyclic Graph : The Directed Acyclic Graph (DAG) is used to represent the structure of basic blocks, to visualize the flow of values between basic blocks, and to provide optimization techniques in the basic block.

### What is shortest path in graph theory?

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.

### Does BFS work on directed graphs?

BFS and DFS in directed graphs For directed graphs, too, we can prove nice properties of the BFS and DFS tree that help to classify the edges of the graph. For BFS in directed graphs, each edge of the graph either connects two vertices at the same level, goes down exactly one level, or goes up any number of levels.

**Can A directed graph have two distinct shortest path trees?**

In general, there can be multiple shortest paths in a graph. In particular, you can use Djikstra’s algorithm to compute shortest paths and this algorithm can return multiple paths from any node A to any other node B.

**What is DAG used for?**

Directed Acyclic Graph (DAG) is a tool that depicts the structure of basic blocks, helps to see the flow of values flowing among the basic blocks, and offers optimization too. DAG provides easy transformation on basic blocks.

## What is the purpose of DAG?

A database availability group (DAG) is a set of up to 16 Exchange Mailbox servers that provides automatic, database-level recovery from a database, server, or network failure. DAGs use continuous replication and a subset of Windows failover clustering technologies to provide high availability and site resilience.

## 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.

**Is there only one shortest-path tree?**

“… shortest-path trees in general are not unique.” Thank you a lot for your effort to answer this very simple question.

**What is the difference between MST and SPT?**

If there are N vertices are present inside graph G then the minimum spanning tree of the graph will contain N-1 edges and N vertices. If there are N vertices present inside graph G, then in the shortest path between two vertices there can be at most N-1 edges, and at most N vertices can be present in the shortest path.

### What is DAG with example?

### What is DAG explain briefly?

What Does Directed Acyclic Graph (DAG) Mean? In computer science and mathematics, a directed acyclic graph (DAG) is a graph that is directed and without cycles connecting the other edges. This means that it is impossible to traverse the entire graph starting at one edge. The edges of the directed graph only go one way.

**What is the shortest path tree of a graph?**

Shortest-path tree. Given a connected, undirected graph G, a shortest-path tree rooted at vertex v is a spanning tree T of G, such that the path distance from root v to any other vertex u in T is the shortest path distance from v to u in G.

**How to solve single source shortest path problem in undirected graph?**

Write a program DijkstraUndirectedSP.java that solves the single-source shortest paths problems in undirected graphs with nonnegative weights using Dijkstra’s algorithm. Floyd-Warshall algorithm. FloydWarshall.java implements the Floyd-Warshall algorithm for the all-pairs shortest path problem.

## Can we calculate single source shortest distances in directed acyclic graph (DAG)?

For a graph with no negative weights, we can do better and calculate single source shortest distances in O (E + VLogV) time using Dijkstra’s algorithm. Can we do even better for Directed Acyclic Graph (DAG)? We can calculate single source shortest distances in O (V+E) time for DAGs.

## What is the shortest path length of the output?

Output: Shortest path length is:5 Path is:: 2 1 0 3 4 6 Recommended: Please try your approach on {IDE} first, before moving on to the solution. One solution is to solve in O (VE) time using Bellman–Ford. If there are no negative weight cycles, then we can solve in O (E + VLogV) time using Dijkstra’s algorithm .