Software Developer

You have been given two Strings “STR1” and “STR2” of characters. Your task is to find the length of the longest common subsequence.

A String ‘a’ is a subsequence of a String ‘b’ if ‘a’ can be obtained from ‘b’ by deletion of several (possibly, zero or all) characters. A common subsequence of two Strings is a subsequence that is common to both Strings.

You have been given two singly Linked Lists, where each of them represents a positive number without any leading zeros.

Your task is to add these two numbers and print the summation in the form of a linked list.

Example:

If the first linked list is 1 -> 2 -> 3 -> 4 -> 5 -> NULL and the second linked list is 4 -> 5 -> NULL.

The two numbers represented by these two lists are 12345 and 45, respectively. So, adding these two numbers gives 12390. 

So, the linked list representation of this number is 1 -> 2 -> 3 -> 9 -> 0 -> NULL.

Given an adjacency list representation of a directed graph with ‘n’ vertices and ‘m’ edges. Your task is to return a list consisting of Breadth-First Traversal (BFS) starting from vertex 0.

In this traversal, one can move from vertex 'u' to vertex 'v' only if there is an edge from 'u' to 'v'. The BFS traversal should include all nodes directly or indirectly connected to vertex 0.

Note:

The traversal should proceed from left to right according to the input adjacency list.

Example:

Adjacency list: { {1,2,3},{4}, {5}, {},{},{}}

The interpretation of this adjacency list is as follows:
Vertex 0 has directed edges towards vertices 1, 2, and 3.
Vertex 1 has a directed edge towards vertex 4.
Vertex 2 has a directed edge towards vertex 5.
Vertices 3, 4, and 5 have no outgoing edges.

We can also see this in the diagram below.

BFS traversal: 0 1 2 3 4 5

Given an undirected and disconnected graph G(V, E), containing 'V' vertices and 'E' edges, the information about edges is given using 'GRAPH' matrix, where i-th edge is between GRAPH[i][0] and GRAPH[i][1]. print its DFS traversal.

V is the number of vertices present in graph G and vertices are numbered from 0 to V-1. 

E is the number of edges present in graph G.

Note :

The Graph may not be connected i.e there may exist multiple components in a graph.

You have been given an undirected graph of ‘V’ vertices (labeled 0,1,..., V-1) and ‘E’ edges. Each edge connecting two nodes (‘X’,’Y’) will have a weight denoting the distance between node ‘X’ and node ‘Y’.

Your task is to find the shortest path distance from the source node, which is the node labeled as 0, to all vertices given in the graph.

Example:

Input:
4 5
0 1 5
0 2 8
1 2 9
1 3 2
2 3 6

In the given input, the number of vertices is 4, and the number of edges is 5.

In the input, following the number of vertices and edges, three numbers are given. The first number denotes node ‘X’, the second number denotes node ‘Y’ and the third number denotes the distance between node ‘X’ and ‘Y’.

As per the input, there is an edge between node 0 and node 1 and the distance between them is 5.

The vertices 0 and 2 have an edge between them and the distance between them is 8.
The vertices 1 and 2 have an edge between them and the distance between them is 9.
The vertices 1 and 3 have an edge between them and the distance between them is 2.
The vertices 2 and 3 have an edge between them and the distance between them is 6.

Note:

1. There are no self-loops(an edge connecting the vertex to itself) in the given graph.

2. There can be parallel edges i.e. two vertices can be directly connected by more than 1 edge.