Largest Component Size by Common Factor

Largest Component Size by Common Factor is a Hard Data Structures and Algorithms interview problem you can solve, run and submit on Thita.ai. It belongs to the Graph Traversal Patterns (DFS & BFS) pattern, in the Union-Find (Disjoint Set Union - DSU) subpattern.

Problem statement

You are given an integer array of unique positive integers nums. Consider the following graph:

- There are nums.length nodes, labeled nums[0] to nums[nums.length - 1],

- There is an undirected edge between nums[i] and nums[j] if nums[i] and nums[j] share a common factor greater than 1.

Return the size of the largest connected component in the graph.

Example 1:

Input: nums = [4,6,15,35] Output: 4

Example 2:

Input: nums = [20,50,9,63] Output: 2

Example 3:

Input: nums = [2,3,6,7,4,12,21,39] Output: 8

Constraints:

- 1 <= nums.length <= 2 104

- 1 <= nums[i] <= 105

- All the values of nums are unique.

Topics and companies

Topics: Array, Hash Table, Math, Union Find, Number Theory.

Reported in interviews at Google.

How to practise Largest Component Size by Common Factor on Thita.ai

Starter code is provided in C, C#, C++, Go, Java, JavaScript and Python. Your solution runs against 5 test cases for this problem, with the AI coach available for a hint when you are stuck rather than a finished answer. The reference solution runs in O(n * sqrt(m) * alpha(n)) time and O(n + m) space.

Open Largest Component Size by Common Factor in the code editor, or read the Largest Component Size by Common Factor editorial for a worked solution with its approach and complexity analysis.

Where Largest Component Size by Common Factor sits in the DSA pattern sheet

Problems related to Largest Component Size by Common Factor

Other problems that use the same Union-Find (Disjoint Set Union - DSU) and Graph Traversal Patterns (DFS & BFS) techniques:

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