Table of Contents

- 1 What is Prims algorithm with example?
- 2 Which algorithm is better Prims or Kruskal?
- 3 Why Prims algorithm is used?
- 4 How do you use Dijkstra’s algorithm?
- 5 Is Prims faster than Kruskal?
- 6 Where is Kruskal algorithm used?
- 7 What is the time complexity of Prim’s algorithm?
- 8 When did Robert Prim invent the spanning tree algorithm?

## What is Prims algorithm with example?

Prim’s algorithm finds the subset of edges that includes every vertex of the graph such that the sum of the weights of the edges can be minimized. Prim’s algorithm starts with the single node and explore all the adjacent nodes with all the connecting edges at every step.

**What is Kruskal’s algorithm with example?**

Kruskal’s Algorithm is used to find the minimum spanning tree for a connected weighted graph. The main target of the algorithm is to find the subset of edges by using which, we can traverse every vertex of the graph.

### Which algorithm is better Prims or Kruskal?

The advantage of Prim’s algorithm is its complexity, which is better than Kruskal’s algorithm. Therefore, Prim’s algorithm is helpful when dealing with dense graphs that have lots of edges. However, Prim’s algorithm doesn’t allow us much control over the chosen edges when multiple edges with the same weight occur.

**What is the use of Kruskal and Prims algorithm?**

We can use Prim’s Algorithm or Kruskal’s Algorithm. Both Prims And Kruskal Algorithms are used to find the minimum spanning trees. Now the applications of the Kruskal and Prims Algorithm are basically the applications of MST. Both approaches are known as ‘greedy’ algorithms.

#### Why Prims algorithm is used?

Prim’s Algorithm is used to find the minimum spanning tree from a graph. Prim’s algorithm finds the subset of edges that includes every vertex of the graph such that the sum of the weights of the edges can be minimized. The edges with the minimal weights causing no cycles in the graph got selected.

**What is Dijkstra’s algorithm with example?**

Dijkstra’s algorithm is the iterative algorithmic process to provide us with the shortest path from one specific starting node to all other nodes of a graph. It is different from the minimum spanning tree as the shortest distance among two vertices might not involve all the vertices of the graph.

## How do you use Dijkstra’s algorithm?

Dijkstra’s algorithm example

- Convert problem to its graph equivalent.
- Assign cost to vertices.
- Calculate minimum cost for neighbors of selected source.
- Select next vertex with smallest cost from the unvisited list.
- Repeat step 4 for all the remaining unvisited nodes.
- Note.

**Which is faster Prims or Kruskal?**

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.

### Is Prims faster than 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.

**Where is Kruskal used?**

Following are some of the other real-life applications of Kruskal’s algorithm: Landing Cables. TV Network. Tour Operations.

#### Where is Kruskal algorithm used?

Explanation: The Kruskal’s algorithm is used to find the minimum spanning tree of the connected graph. It construct the MST by finding the edge having the least possible weight that connects two trees in the forest.

**Which is better the Kruskal algorithm or the Prim algorithm?**

Analysis Since the complexity is , the Kruskal algorithm is better used with sparse graphs, where we don’t have lots of edges. However, since we are examining all edges one by one sorted on ascending order based on their weight, this allows us great control over the resulting MST.

## What is the time complexity of Prim’s algorithm?

The prim’s algorithm has O (log V2) time complexity in the worst case. It forms a single tree out of the set of edges having least cost. The algorithm follows the greedy strategy where at each step the tree expands with the addition of a new least weighted edge possible.

**How does Prim’s algorithm grow a solution from a random vertex?**

Prim’s Algorithm grows a solution from a random vertex by adding the next cheapest vertex to the existing tree. Kruskal’s Algorithm grows a solution from the cheapest edge by adding the next cheapest edge to the existing tree / forest.

### When did Robert Prim invent the spanning tree algorithm?

The Prim’s algorithm searches for the minimum spanning tree for the connected weighted graph which does not have cycles. The algorithm was devised by Vojtek Jarnik in 1938, later it was rediscovered by Robert Prim.