3349. Adjacent Increasing Subarrays Detection I LeetCode Solution
In this guide, you will get 3349. Adjacent Increasing Subarrays Detection I LeetCode Solution with the best time and space complexity. The solution to Adjacent Increasing Subarrays Detection I problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.
Table of Contents
- Problem Statement
- Complexity Analysis
- Adjacent Increasing Subarrays Detection I solution in C++
- Adjacent Increasing Subarrays Detection I solution in Java
- Adjacent Increasing Subarrays Detection I solution in Python
- Additional Resources

Problem Statement of Adjacent Increasing Subarrays Detection I
Given an array nums of n integers and an integer k, determine whether there exist two adjacent subarrays of length k such that both subarrays are strictly increasing. Specifically, check if there are two subarrays starting at indices a and b (a < b), where:
Both subarrays nums[a..a + k – 1] and nums[b..b + k – 1] are strictly increasing.
The subarrays must be adjacent, meaning b = a + k.
Return true if it is possible to find two such subarrays, and false otherwise.
Example 1:
Input: nums = [2,5,7,8,9,2,3,4,3,1], k = 3
Output: true
Explanation:
The subarray starting at index 2 is [7, 8, 9], which is strictly increasing.
The subarray starting at index 5 is [2, 3, 4], which is also strictly increasing.
These two subarrays are adjacent, so the result is true.
Example 2:
Input: nums = [1,2,3,4,4,4,4,5,6,7], k = 5
Output: false
Constraints:
2 <= nums.length <= 100
1 < 2 * k <= nums.length
-1000 <= nums[i] <= 1000
Complexity Analysis
- Time Complexity: O(n)
- Space Complexity: O(1)
3349. Adjacent Increasing Subarrays Detection I LeetCode Solution in C++
class Solution {
public:
bool hasIncreasingSubarrays(vector<int>& nums, int k) {
int increasing = 1;
int prevIncreasing = 0;
for (int i = 1; i < nums.size(); ++i) {
if (nums[i] > nums[i - 1]) {
++increasing;
} else {
prevIncreasing = increasing;
increasing = 1;
}
if (increasing / 2 >= k || min(prevIncreasing, increasing) >= k)
return true;
}
return false;
}
};
/* code provided by PROGIEZ */
3349. Adjacent Increasing Subarrays Detection I LeetCode Solution in Java
class Solution {
public boolean hasIncreasingSubarrays(List<Integer> nums, int k) {
int increasing = 1;
int prevIncreasing = 0;
for (int i = 1; i < nums.size(); ++i) {
if (nums.get(i) > nums.get(i - 1)) {
++increasing;
} else {
prevIncreasing = increasing;
increasing = 1;
}
if (increasing / 2 >= k || Math.min(prevIncreasing, increasing) >= k)
return true;
}
return false;
}
}
// code provided by PROGIEZ
3349. Adjacent Increasing Subarrays Detection I LeetCode Solution in Python
class Solution:
def hasIncreasingSubarrays(self, nums: list[int], k: int) -> bool:
increasing = 1
prevIncreasing = 0
for a, b in itertools.pairwise(nums):
if b > a:
increasing += 1
else:
prevIncreasing = increasing
increasing = 1
if increasing // 2 >= k or min(prevIncreasing, increasing) >= k:
return True
return False
# code by PROGIEZ
Additional Resources
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