How to Find Increasing Triplet Subsequences?

Finding an increasing triplet subsequence in an array is a frequent topic during technical interviews for software developers. The problem involves identifying whether there exists a triplet (i, j, k) in a sequence of numbers such that i < j < k and arr[i] < arr[j] < arr[k]. This task requires relatively efficient methods, especially for larger arrays, making it a suitable problem for assessing a candidate's algorithmic thinking.

Problem Explanation

Given an array of integers, the goal is to determine if there are three indices such that the values at those indices form an increasing sequence. For example:

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This problem can be solved using various methods, including brute force, but more optimal methods are generally preferred to ensure efficiency.

Example Interview Questions

Question 1: Describe a brute-force solution for finding an increasing triplet subsequence.

A brute-force approach involves three nested loops to check every triplet. This solution's time complexity is O(n³), which is not optimal. Here is the outline:

1. Iterate with the first loop through the array.
2. In the second nested loop, iterate from the current index of the first to find a suitable middle element.
3. Use a third nested loop to find an element greater than the middle element.

Sample Code

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Question 2: What is a more efficient approach to solve this problem?

A more efficient approach, operating in O(n) time complexity, uses two variables to track the potential first and second numbers of the triplet.

1. Initialize two variables first and second to positive infinity.
2. Traverse each number in the array:
   • If the number is less than or equal to first, update first.
   • If the number is greater than first but less than or equal to second, update second.
   • If the number is greater than second, a triplet has been found.

Sample Code

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Question 3: Can you explain the time and space complexity of this efficient solution?

The time complexity of this efficient solution is O(n), where n is the length of the input array. This is because we only make a single pass through the array. The space complexity is O(1) since we are using only a fixed number of extra variables (first, second) and not utilizing any additional data structures like arrays or lists.

Common Mistakes to Avoid

When coding solutions for this problem, candidates often forget to:

• Properly handle edge cases, such as arrays containing fewer than three numbers.
• Ensure that the triplet strictly increases; using <= instead of < can lead to incorrect results.

Always verify your program with test cases covering edge scenarios.

Example Test Cases

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These examples encapsulate the kind of understanding and solutions required when presented with the increasing triplet subsequence question during a developer interview. Being prepared with both naive and optimal approaches will demonstrate a candidate's versatility and problem-solving skills.