- Does DFS have path?
- What is the time complexity of Dijkstra’s shortest path algorithm?
- Is Dijkstra BFS or DFS?
- Is Dijkstra a BF?
- Where is Kruskal algorithm used?
- Why stack is used in DFS?
- What is the time complexity of Kruskal’s algorithm?
- Is Dijkstra A greedy algorithm?
- What is the time and space complexity of BFS algorithm?
- Why is the complexity of DFS o v e?
- Which is better BFS or DFS?
- How do you calculate time complexity?
- Which is better Prims or Kruskal?
- Why BFS is slower than DFS?
- Does DFS find shortest path?
- What is the complexity of prim algorithm?
- Is Kruskal algorithm optimal?
- What is the time complexity of DFS?
- What is the space complexity of BFS?
- How many times a node is visited in DFS?
- How do you implement DFS?

## Does DFS have path?

Approach: Either Breadth First Search (BFS) or Depth First Search (DFS) can be used to find path between two vertices.

Take the first vertex as source in BFS (or DFS), follow the standard BFS (or DFS).

If the second vertex is found in our traversal, then return true else return false..

## What is the time complexity of Dijkstra’s shortest path algorithm?

Time Complexity of Dijkstra’s Algorithm is O ( V 2 ) but with min-priority queue it drops down to O ( V + E l o g V ) .

## Is Dijkstra BFS or DFS?

If you think BFS is about expanding nodes in order of their number of hops from the source vertex, then Dijkstra’s is not really a BFS algorithm. … In fact, when you run Dijkstra’s on an unweighted graph, it will always visit nodes in an order consistent with BFS, and likely inconsistent with what DFS would do.

## Is Dijkstra a BF?

You can implement Dijkstra’s algorithm as BFS with a priority queue (though it’s not the only implementation). Dijkstra’s algorithm relies on the property that the shortest path from s to t is also the shortest path to any of the vertices along the path. This is exactly what BFS does.

## Where is Kruskal algorithm used?

Applications of Kruskal and Prim’s algorithms often come up in computer networking. For example, if you have a large LAN with many switches, finding a minimum spanning tree will be vital to ensure that only a minimum number of packets will be transmitted across the network.

## Why stack is used in DFS?

The depth-first search uses a Stack to remember where it should go when it reaches a dead end. … Stack (Last In First Out, LIFO). For DFS, we retrieve it from root to the farthest node as much as possible, this is the same idea as LIFO.

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

COMPLEXITY OF KRUSKAL’S ALGORITHM: The make_ set(v) operation in line 2 has the complexity of O (V). Sorting E edges takes O (E log E) time. Lines 4-7 perform the find_set and union operation for each edge in G. Thus, taking a time of O (E log V).

## Is Dijkstra A greedy algorithm?

In fact, Dijkstra’s Algorithm is a greedy algo- rithm, and the Floyd-Warshall algorithm, which finds shortest paths between all pairs of vertices (see Chapter 26), is a dynamic program- ming algorithm. Although the algorithm is popular in the OR/MS literature, it is generally regarded as a “computer science method”.

## What is the time and space complexity of BFS algorithm?

O(|V|) = O(b^d)Breadth-first search/Space complexity

## Why is the complexity of DFS o v e?

Time complexity is O(E+V) instead of O(2E+V) because if the time complexity is n^2+2n+7 then it is written as O(n^2). because difference between n^2 and n matters but not between n and 2n.

## Which is better BFS or DFS?

BFS is better when target is closer to Source. DFS is better when target is far from source. As BFS considers all neighbour so it is not suitable for decision tree used in puzzle games. DFS is more suitable for decision tree.

## How do you calculate time complexity?

The time complexity, measured in the number of comparisons, then becomes T(n) = n – 1. In general, an elementary operation must have two properties: There can’t be any other operations that are performed more frequently as the size of the input grows.

## 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.

## Why BFS is slower than DFS?

Most BFS algorithms do an abbreviated DFS before walking the breadth of each adjacency list, putting this result into a queue that is then walked. For this reason, it is twice as slow as DFS at a minimum. The advantage, though, is that if you are looking for close neighbors, this system is faster then DFS.

## Does DFS find shortest path?

No, you cannot use DFS to find shortest path in an unweighted graph. It is not the case that, finding the shortest path between two nodes is exclusively solved by BFS. In an unweighted graph the shortest path are the smallest number of edges that must be traversed from source to destination nodes.

## What is the complexity of prim algorithm?

Time Complexity: The time complexity of the Prim’s Algorithm is O ( ( V + E ) l o g V ) because each vertex is inserted in the priority queue only once and insertion in priority queue take logarithmic time.

## Is Kruskal algorithm optimal?

4 Answers. Okay, let’s assume that you’re right, so Kruskal’s algorithm doesn’t find the optimal solution. … Otherwise, Kruskal’s algorithm would have chosen all the edges on the path u-v instead of edge e . That means, if we remove that edge and add e on the solution T , the solution doesn’t get worse.

## What is the time complexity of DFS?

The time complexity of DFS if the entire tree is traversed is O ( V ) O(V) O(V) where V is the number of nodes. In the case of a graph, the time complexity is O ( V + E ) O(V + E) O(V+E) where V is the number of vertexes and E is the number of edges.

## What is the space complexity of BFS?

O(|V|) = O(b^d)Breadth-first search/Space complexity

## How many times a node is visited in DFS?

Hence, it is equivalent to the pre-order traversal of a Binary Tree. Explanation: The Depth First Search explores every node once and every edge once (in worst case), so it’s time complexity is O(V + E).

## How do you implement DFS?

DFS algorithmStart by putting any one of the graph’s vertices on top of a stack.Take the top item of the stack and add it to the visited list.Create a list of that vertex’s adjacent nodes. Add the ones which aren’t in the visited list to the top of the stack.Keep repeating steps 2 and 3 until the stack is empty.