Java Coding Practice

Solve Print Adjacency List using Java Language

Solve Print Adjacency List using Java to enhance your skills with java coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

Print Adjacency List

Difficulty : Easy

Categories :

  • Graphs

Given an undirected graph with V vertices and E edges, create and return its adjacency list representation. Use 0-based indexing for the vertices.

An adjacency list is a data structure where for each vertex, we maintain a list of all other vertices it is connected to.

Constraints:

  • 1 ≤ V, E ≤ 105
  • Graph is undirected, meaning if there's an edge from u to v, there's also an edge from v to u
  • 0 ≤ u, v < V (vertices are 0-indexed)

Examples:

Input:
V = 5, E = 7
edges = [[0,1],[0,4],[4,1],[4,3],[1,3],[1,2],[3,2]]
Output: [[1,4],[0,2,3,4],[1,3],[1,2,4],[0,1,3]]
Explanation: For each vertex i, output[i] contains all vertices j where an edge exists between i and j.
Input:
V = 4, E = 3
edges = [[0,3],[0,2],[2,1]]
Output: [[2,3],[2],[0,1],[0]]
Explanation: The list for each vertex contains all vertices it has edges to.

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Choose from the following categories

Arrays A collection of elements stored in contiguous memory locations, allowing efficient random access and manipulation.

Linked Lists A linear data structure where each element (node) points to the next, offering dynamic memory allocation and efficient insertions/deletions.

Trees A hierarchical data structure with nodes connected by edges, used in applications like databases, file systems, and parsing.

Graphs A collection of nodes (vertices) connected by edges, representing relationships, widely used in networking, routing, and social networks.

Dynamic Programming An optimization technique that solves problems by breaking them into overlapping subproblems and storing their results.

Backtracking A problem-solving method that explores all possibilities recursively, backtracking when a solution is not feasible.

Sorting Algorithms Techniques for arranging elements in a specific order, such as quicksort, mergesort, and bubble sort, essential for data organization.

Searching Algorithms Methods for finding elements in a dataset, such as binary search, linear search, and graph traversal techniques.

Mathematics A field of study involving numbers, calculations, and logical reasoning, forming the foundation for algorithms and problem-solving.

Recursion A programming technique where a function calls itself to solve smaller instances of the same problem, often used in divide-and-conquer approaches.

Bit Manipulation Operations performed directly on binary representations of data, used for efficient computations and optimization tasks.