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Count the Number of Incremovable Subarrays I

Easy
50%
Updated 8/1/2025

Count the Number of Incremovable Subarrays I

What is this problem about?

The Count the Number of Incremovable Subarrays I coding problem asks you to find the number of subarrays such that after removing them, the remaining elements form a strictly increasing sequence.

For example, if the array is [1, 2, 3, 1, 2], removing the subarray [3, 1] leaves [1, 2, 2], which is NOT strictly increasing. Removing [3, 1, 2] leaves [1, 2], which IS strictly increasing.

Why is this asked in interviews?

Apple and Microsoft use this "Easy" version to test a candidate's ability to implement a brute-force enumeration pattern correctly. It checks for basic array slicing, validation logic, and loop management. It serves as a precursor to the "Hard" version, evaluating if you can first solve the problem simply before looking for O(N)O(N) optimizations.

Algorithmic pattern used

This problem uses Enumeration.

  1. Iterate through every possible start index i from 0 to n1n-1.
  2. Iterate through every possible end index j from i to n1n-1.
  3. For each pair (i,j)(i, j), create a temporary list of elements excluding the range [i,j][i, j].
  4. Verify if this temporary list is strictly increasing.
  5. Count the number of pairs that pass the test.

Example explanation

nums = [1, 3, 2]

  1. Remove [1]: Remains [3, 2] (False).
  2. Remove [3]: Remains [1, 2] (True).
  3. Remove [2]: Remains [1, 3] (True).
  4. Remove [1, 3]: Remains [2] (True).
  5. Remove [3, 2]: Remains [1] (True).
  6. Remove [1, 3, 2]: Remains [] (True). Total count = 5.

Common mistakes candidates make

  • Empty result: Forgetting that removing the entire array is a valid move (leaving an empty sequence, which is vacuously strictly increasing).
  • Strict vs. Non-strict: Treating [1, 1] as valid when the problem specifies strictly increasing.
  • Index errors: Messing up the boundaries when constructing the "remaining" array.

Interview preparation tip

In "Version I" of any problem, prioritize correctness and clarity over speed. If NN is small (e.g., 50\le 50), a O(N3)O(N^3) brute force is perfectly fine and often preferred because it's harder to make logic errors.

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