Wiggle Subsequence
Medium
GreedyDynamic Programming
Problem
A wiggle sequence has alternating positive/negative differences. Return the length of the longest wiggle subsequence (in order, not necessarily contiguous).
Example 1
Input: [1,7,4,9,2,5]
Output: 6
Constraints
- 1 ≤ n ≤ 1000
Approach — Dynamic Programming
This is a Dynamic Programming problem. The idea: break the problem into overlapping subproblems and build the answer up, caching results so nothing is recomputed. Work through the reference code below line by line, then re-derive it yourself in the editor — that's how the pattern sticks.
Complexity: O(n) to O(n²) time.
Solution code
Python
class Solution:
def wiggleMaxLength(self, nums):
if len(nums) < 2:
return len(nums)
up = down = 1
for i in range(1, len(nums)):
if nums[i] > nums[i - 1]:
up = down + 1
elif nums[i] < nums[i - 1]:
down = up + 1
return max(up, down)
Java
class Solution {
public int wiggleMaxLength(int[] nums) {
if (nums.length < 2) return nums.length;
int up = 1, down = 1;
for (int i = 1; i < nums.length; i++) {
if (nums[i] > nums[i-1]) up = down + 1;
else if (nums[i] < nums[i-1]) down = up + 1;
}
return Math.max(up, down);
}
}
Practice it
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