Table of Contents
- 1 How do you calculate distance between two nodes in a graph?
- 2 How can we determine a graph is connected or not using BFS algorithm?
- 3 What is Knn search?
- 4 What is the maximum distance between two nodes present in the queue while using the BFS algorithm considering each edge length 1 if that edge exists?
- 5 How do you count the number of visited nodes in a graph?
- 6 How to detect cycle in a directed graph using BFS?
How do you calculate distance between two nodes in a graph?
Starts from the first node and then keep hopping from the current set of nodes until you reach the target. The point of visited-node list is to prevent visiting the visited nodes, resulting in a loop. And to get shortest distance, it’s no use to make a revisit as it always makes the distance of resulting path longer.
What is K in binary tree?
All Nodes Distance K in Binary Tree. Given the root of a binary tree, the value of a target node target , and an integer k , return an array of the values of all nodes that have a distance k from the target node. You can return the answer in any order.
How can we determine a graph is connected or not using BFS algorithm?
A simple solution is to perform Depth–first search (DFS) or Breadth–first search (BFS) starting from every vertex in the graph. If each DFS/BFS call visits every other vertex in the graph, then the graph is strongly connected.
What are neighbors in a graph?
We also say two edges or arcs are neighbors if they share a vertex. Neighborhood. For an undirected graph G = (V,E), the neighborhood NG(v) of a vertex. v ∈ V is its set of all neighbors of v, i.e., NG(v) = {u | {u, v} ∈ E}. For a directed graph we.
What is Knn search?
k-nearest neighbor search identifies the top k nearest neighbors to the query. This technique is commonly used in predictive analytics to estimate or classify a point based on the consensus of its neighbors. k-nearest neighbor graphs are graphs in which every point is connected to its k nearest neighbors.
How do you calculate node distance?
The distance between two nodes can be obtained in terms of lowest common ancestor. Following is the formula. Dist(n1, n2) = Dist(root, n1) + Dist(root, n2) – 2*Dist(root, lca) ‘n1’ and ‘n2’ are the two given keys ‘root’ is root of given Binary Tree.
What is the maximum distance between two nodes present in the queue while using the BFS algorithm considering each edge length 1 if that edge exists?
Discussion Forum
Que. | Regarding implementation of Breadth First Search using queues, what is the maximum distance between two nodes present in the queue? (considering each edge length 1) |
---|---|
b. | 0 |
c. | At most 1 |
d. | Insufficient Information |
Answer:At most 1 |
How do you determine the size of a tree in data structure?
Size of a tree = Size of left subtree + 1 + Size of right subtree.
How do you count the number of visited nodes in a graph?
Step-1: Compute in-degree (number of incoming edges) for each of the vertex present in the graph and initialize the count of visited nodes as 0. Step-3: Remove a vertex from the queue (Dequeue operation) and then. Increment count of visited nodes by 1.
What are the rules for using BFS algorithm?
Here, are important rules for using BFS algorithm: A queue (FIFO-First in First Out) data structure is used by BFS. You mark any node in the graph as root and start traversing the data from it. BFS traverses all the nodes in the graph and keeps dropping them as completed.
How to detect cycle in a directed graph using BFS?
Steps involved in detecting cycle in a directed graph using BFS. Step-1: Compute in-degree (number of incoming edges) for each of the vertex present in the graph and initialize the count of visited nodes as 0. Step-2: Pick all the vertices with in-degree as 0 and add them into a queue (Enqueue operation)
How do you count the number of nodes in a tree?
Count the number of nodes at a given level l. It may be assumed that vertex 0 is the root of the tree. BFS is a traversing algorithm that starts traversing from a selected node (source or starting node) and traverses the graph layer-wise thus exploring the neighbour nodes (nodes that are directly connected to the source node).