Transform matrix to sorted array
Last updated: May 4, 2026
Quick Overview
Given a 2D matrix of integers, transform it into a sorted 1D array in ascending order. The input will be a matrix where each row is sorted, and the output should be a single array containing all the elements from the matrix, sorted from smallest to largest.
Splunk
May 4, 20267
4
4,650 solved
Given a 2D matrix of integers, transform it into a sorted 1D array in ascending order. The input will be a matrix where each row is sorted, and the output should be a single array containing all the elements from the matrix, sorted from smallest to largest.
Coding interviews at Splunk focus on problem-solving approach as much as the final solution. The interviewer wants to see you break down the problem, consider edge cases, and optimize iteratively. Communication throughout the process is key.
What the Interviewer Expects
- Identify the correct data structure and algorithm for the problem
- Write clean, bug-free code with proper variable naming
- Analyze time and space complexity correctly
- Handle basic edge cases (empty input, single element)
- Communicate your thought process while coding
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- How would you test this solution thoroughly?
- How would your solution change if the input was sorted?
- Can you solve this in a single pass?
- Can you solve this iteratively instead of recursively (or vice versa)?
Sharpen Your Skills on Codemia
Practice similar problems with our interactive workspace, get AI feedback, and track your progress.
Practice DSA ProblemsSample Answer
Problem Analysis
The problem requires transforming a 2D matrix, where each row is sorted, into a sorted 1D array. The sorted property of each row suggests that we can utilize a min-heap (or priority queue) to efficien...
Approach
- Initialize a min-heap to keep track of the smallest elements from each row.
- Insert the first element of each row into the heap along with its row and column indices.
- Continuously extract ...
Submit Your Answer
