The "Count Strictly Increasing Subarrays interview question" is an array counting task. You are given an array of integers and need to find the total number of subarrays that are strictly increasing (each element is strictly greater than the one before it). For example, in [1, 3, 2], the strictly increasing subarrays are [1], [3], [2], [1, 3].
Companies like J.P. Morgan use the "Count Strictly Increasing Subarrays coding problem" to evaluate a candidate's ability to use "Dynamic Programming" or a single-pass greedy approach. It’s a test of whether you can recognize that contiguous segments with a property can be counted using a simple arithmetic formula.
This problem follows the Linear Scan and Combinatorics pattern.
current_length.arr[i] > arr[i-1], increment the counter.current_length to your total result at each step (this is a shortcut for the formula).Array: [1, 2, 3]
length=1. Total = 1. Subarray: [1].length=2. Total = 1 + 2 = 3. Subarrays: [2], [1, 2].length=3. Total = 3 + 3 = 6. Subarrays: [3], [2, 3], [1, 2, 3].
Total: 6.arr[i] > arr[i-1], not .When counting contiguous subarrays with a specific property, always ask: "Does adding an element to a valid segment of length create exactly new valid subarrays?" If yes, a single pass with a running total is the optimal "Array interview pattern" approach.
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