Increasing Triplet Subsequence

To solve this coding challenge, you need a method that efficiently checks whether there exists a triplet of indices in a given integer array that satisfies the criteria \(i < j < k\) and \(nums[i] < nums[j] < nums[k]\). The problem also specifies that the algorithm should operate in \(O(n)\) time complexity and \(O(1)\) space complexity for optimal performance.

Explanation

The solution to this problem involves traversing the array while keeping track of two variables:
first
and
second
. These variables will be used to store the smallest and the second smallest values found so far, respectively. As we iterate through the array, the following steps will be performed:
  1. Initialization :
    • Initialize
      first
      to a very large number (
      inf
      ) to keep track of the smallest number found thus far.
    • Initialize
      second
      to a very large number (
      inf
      ) to keep track of the second smallest number found thus far.
  2. Iteration and Comparison :
    • Iterate through each element in the array.
    • For each element, compare it with
      first
      :
      • If the element is smaller than or equal to
        first
        , update
        first
        to the current element's value.
    • If the element is larger than
      first
      but smaller than or equal to
      second
      , update
      second
      to the current element's value.
    • If the element is larger than both
      first
      and
      second
      , it means we have found a triplet satisfying the criteria, hence return
      True
      .
  3. Completion :
    • If the loop completes without finding such a triplet, return
      False
      .
    This approach ensures that the time complexity is \(O(n)\) because it only requires a single pass through the array. Furthermore, it also guarantees \(O(1)\) space complexity as only a few extra variables are needed.

    Detailed Steps in Pseudocode

  4. Initialize
    first
    to a very large value (
    inf
    ).
  5. Initialize
    second
    to a very large value (
    inf
    ).
  6. Loop through each element in the array:
    • If the current element is less than or equal to
      first
      , update
      first
      .
    • Else, if the current element is less than or equal to
      second
      , update
      second
      .
    • Else, if the current element is greater than
      second
      , return
      True
      .
  7. If no triplet is found, return
    False
    .

Pseudocode

                                            
# Initialize tracking variables to very large values
first_smallest = infinity  # Represents the smallest value found
second_smallest = infinity  # Represents the second smallest value found

# Iterate through each element in the input array
for current_value in input_array:
    
    # Check if current value is smaller or equal to first_smallest
    if current_value <= first_smallest:
        # Update first_smallest to this new smaller value
        first_smallest = current_value
        
    # Check if current value is smaller or equal to second_smallest but greater than first_smallest
    elif current_value <= second_smallest:
        # Update second_smallest to this new value as it is the second smallest found
        second_smallest = current_value
        
    # If current value is greater than both first_smallest and second_smallest
    else:
        # This means we found a valid increasing triplet
        return True

# If loop completes without returning True, there is no valid triplet
return False

                                        
This pseudocode captures the essence of the logic required to solve the coding challenge, ensuring clarity and adherence to the specified constraints. By following the approach described, you can efficiently determine whether an increasing triplet subsequence exists in the given integer array.