- What is maximum spanning tree?
- What is minimum spanning tree?
- Is minimum spanning tree unique?
- How do you find the minimum spanning tree?
- How many spanning trees are possible?
- How many edges are required to form a minimum spanning tree?
- How do you implement Prims algorithm?
- What is the time complexity of Dijkstra algorithm?
- What does a minimum spanning tree tell you about a graph?
- Can spanning tree cause problems?
- What is the difference between Prim and Kruskal algorithm?
- Does Dijkstra give MST?
- What is minimum spanning tree with example?
- What is the use of spanning tree?
- Does minimum spanning tree give shortest path?
- Which is better Prims or Kruskal?
- What is single source shortest path problem?

## What is maximum spanning tree?

A maximum spanning tree is a spanning tree of a weighted graph having maximum weight.

It can be computed by negating the weights for each edge and applying Kruskal’s algorithm (Pemmaraju and Skiena, 2003, p.

336)..

## What is minimum spanning tree?

A minimum spanning tree (MST) or minimum weight spanning tree is a subset of the edges of a connected, edge-weighted undirected graph that connects all the vertices together, without any cycles and with the minimum possible total edge weight.

## Is minimum spanning tree unique?

If the edge weights are all positive, it suffices to define the MST as the subgraph with minimal total weight that connects all the vertices. The edge weights are all different. If edges can have equal weights, the minimum spanning tree may not be unique.

## How do you find the minimum spanning tree?

Find the cheapest unmarked (uncoloured) edge in the graph that doesn’t close a coloured or red circuit. Mark this edge red. Repeat Step 2 until you reach out to every vertex of the graph (or you have N ; 1 coloured edges, where N is the number of Vertices.) The red edges form the desired minimum spanning tree.

## How many spanning trees are possible?

A complete undirected graph can have maximum nn-2 number of spanning trees, where n is the number of nodes. In the above addressed example, n is 3, hence 33−2 = 3 spanning trees are possible.

## How many edges are required to form a minimum spanning tree?

8 edgesThe graph contains 9 vertices and 14 edges. So, the minimum spanning tree formed will be having (9 – 1) = 8 edges. 1.

## How do you implement Prims algorithm?

The steps for implementing Prim’s algorithm are as follows:Initialize the minimum spanning tree with a vertex chosen at random.Find all the edges that connect the tree to new vertices, find the minimum and add it to the tree.Keep repeating step 2 until we get a minimum spanning tree.

## What is the time complexity of Dijkstra algorithm?

Finding & Updating each adjacent vertex’s weight in min heap is O(log(V)) + O(1) or O(log(V)) . Hence from step1 and step2 above, the time complexity for updating all adjacent vertices of a vertex is E*(logV). or E*logV . Hence time complexity for all V vertices is V * (E*logV) i.e O(VElogV) .

## What does a minimum spanning tree tell you about a graph?

What does a minimum spanning tree tell you about a graph? a) The shortest path from a particular point in the graph to another point in the graph. The images below all show the same map (or graph) as the one depicted above, but have different paths between the points highlighted.

## Can spanning tree cause problems?

The Spanning Tree Protocol actually works quite well. But when it doesn’t, the entire failure domain collapses. The way to reduce the failure domain is to use routing, but this causes application problems. This brittle failure mode for the minimum failure condition is the major problem with STP.

## What is the difference between Prim and Kruskal algorithm?

Kruskal’s algorithm’s time complexity is O(logV), V being the number of vertices. Prim’s algorithm gives connected component as well as it works only on connected graph. Prim’s algorithm runs faster in dense graphs. Kruskal’s algorithm runs faster in sparse graphs.

## Does Dijkstra give MST?

Strictly, the answer is no. Dijkstra’s algorithm finds the shortest path between 2 vertices on a graph. However, a very small change to the algorithm produces another algorithm which does efficiently produce an MST.

## What is minimum spanning tree with example?

A minimum spanning tree is a special kind of tree that minimizes the lengths (or “weights”) of the edges of the tree. An example is a cable company wanting to lay line to multiple neighborhoods; by minimizing the amount of cable laid, the cable company will save money. A tree has one path joins any two vertices.

## What is the use of spanning tree?

The Spanning Tree Protocol (STP) is a network protocol that builds a loop-free logical topology for Ethernet networks. The basic function of STP is to prevent bridge loops and the broadcast radiation that results from them.

## Does minimum spanning tree give shortest path?

Minimum spanning tree is a tree in a graph that spans all the vertices and total weight of a tree is minimal. Shortest path is quite obvious, it is a shortest path from one vertex to another.

## Which is better Prims or Kruskal?

Prim’s algorithm is significantly faster in the limit when you’ve got a really dense graph with many more edges than vertices. Kruskal performs better in typical situations (sparse graphs) because it uses simpler data structures.

## What is single source shortest path problem?

The single-source shortest path problem, in which we have to find shortest paths from a source vertex v to all other vertices in the graph. The single-destination shortest path problem, in which we have to find shortest paths from all vertices in the directed graph to a single destination vertex v.