JavaScript Coding Practice

Solve DFS of Graph using JavaScript Language

Solve DFS of Graph using JavaScript to enhance your skills with javascript coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

DFS of Graph

Difficulty : Easy

Categories :

  • Graphs

Given a connected undirected graph represented as an adjacency list adj, perform a Depth First Search (DFS) traversal starting from vertex 0. Return a list containing the DFS traversal of the graph.

The traversal should visit neighbors in the same order as they appear in the adjacency list.

Constraints:

  • 1 ≤ adj.size() ≤ 104
  • 1 ≤ adj[i][j] ≤ 104
  • Graph is connected and undirected
  • Start vertex is always 0

Examples:

Input: adj = [[2,3,1], [0], [0,4], [0], [2]]
Output: [0,2,4,3,1]
Explanation: DFS path:
1. Start at 0
2. Visit first neighbor 2, then its neighbor 4
3. Backtrack to 0, visit 3
4. Backtrack to 0, visit 1
Input: adj = [[1,2], [0,2], [0,1,3,4], [2], [2]]
Output: [0,1,2,3,4]
Explanation: Follow adjacency list order for neighbor selection

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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.