You are given an integer array nums that is sorted in non-decreasing order.
Determine if it is possible to split nums into one or more subsequences such that both of the following conditions are true:
3 or more.Return true if you can split nums according to the above conditions, or false otherwise.
A subsequence of an array is a new array that is formed from the original array by deleting some (can be none) of the elements without disturbing the relative positions of the remaining elements. (i.e., [1,3,5] is a subsequence of [1,2,3,4,5] while [1,3,2] is not).
Example 1:
Input: nums = [1,2,3,3,4,5] Output: true Explanation: nums can be split into the following subsequences: [1,2,3,3,4,5] --> 1, 2, 3 [1,2,3,3,4,5] --> 3, 4, 5
Example 2:
Input: nums = [1,2,3,3,4,4,5,5] Output: true Explanation: nums can be split into the following subsequences: [1,2,3,3,4,4,5,5] --> 1, 2, 3, 4, 5 [1,2,3,3,4,4,5,5] --> 3, 4, 5
Example 3:
Input: nums = [1,2,3,4,4,5] Output: false Explanation: It is impossible to split nums into consecutive increasing subsequences of length 3 or more.
Constraints:
1 <= nums.length <= 104-1000 <= nums[i] <= 1000nums is sorted in non-decreasing order.The first approach involves using an iterative method to solve the problem. This generally involves using loops to traverse and manage the input data while making use of auxiliary data structures to optimize the solution.
This C program demonstrates a simple iteration over an array, printing each element. Replace or extend the logic inside the loop as needed for your specific problem.
C++
Java
Python
C#
JavaScript
Time Complexity: O(n), where n is the number of elements in the array.
Space Complexity: O(1), as it uses constant space.
The second approach uses recursion to solve the given problem, which can simplify problems with a clear recursive structure. This involves a base case and a recursive call that processes a subset of the data.
This C function demonstrates recursive traversal of an array. It prints each element until the base case (end of the array) is reached.
C++
Java
Python
C#
JavaScript
Time Complexity: O(n), due to n recursive calls.
Space Complexity: O(n), for the recursion call stack.
| Approach | Complexity |
|---|---|
| Approach 1: Iterative Solution | Time Complexity: O(n), where n is the number of elements in the array. |
| Approach 2: Recursive Solution | Time Complexity: O(n), due to n recursive calls. |
Leetcode 128 - LONGEST CONSECUTIVE SEQUENCE • NeetCode • 455,447 views views
Watch 9 more video solutions →Practice Split Array into Consecutive Subsequences with our built-in code editor and test cases.
Practice on FleetCodePractice this problem
Open in Editor