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wiggle_subsequence.go
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/*
376. Wiggle Subsequence
https://leetcode.com/problems/wiggle-subsequence/
A sequence of numbers is called a wiggle sequence if the differences between successive numbers strictly alternate between positive and negative. The first difference (if one exists) may be either positive or negative. A sequence with fewer than two elements is trivially a wiggle sequence.
For example, [1,7,4,9,2,5] is a wiggle sequence because the differences (6,-3,5,-7,3) are alternately positive and negative. In contrast, [1,4,7,2,5] and [1,7,4,5,5] are not wiggle sequences, the first because its first two differences are positive and the second because its last difference is zero.
Given a sequence of integers, return the length of the longest subsequence that is a wiggle sequence. A subsequence is obtained by deleting some number of elements (eventually, also zero) from the original sequence, leaving the remaining elements in their original order.
Example 1:
Input: [1,7,4,9,2,5]
Output: 6
Explanation: The entire sequence is a wiggle sequence.
Example 2:
Input: [1,17,5,10,13,15,10,5,16,8]
Output: 7
Explanation: There are several subsequences that achieve this length. One is [1,17,10,13,10,16,8].
Example 3:
Input: [1,2,3,4,5,6,7,8,9]
Output: 2
Follow up:
Can you do it in O(n) time?
*/
package wigglesubsequence
import "algorithms/utils"
/*
* 用up[i]和down[i]分别记录到第i个元素为止以上升沿和下降沿结束的最长“摆动”
* 序列长度,遍历数组,如果nums[i]>nums[i-1],表明第i-1到第i个元素是上升的,
* 因此up[i]只需在down[i-1]的基础上加1即可,而down[i]保持down[i-1]不变;
* 如果nums[i]<nums[i-1],表明第i-1到第i个元素是下降的,因此down[i]
* 只需在up[i-1]的基础上加1即可,而up[i]保持up[i-1]不变;如果nums[i]==nums[i-1],
* 则up[i]保持up[i-1],down[i]保持down[i-1]。比较最终以上升沿和下降沿结束的
* 最长“摆动”序列长度即可获取最终结果
* */
// dynamic programming
// Time complexity: O(n^2)
// Space complexity: O(2n) ==> O(n)
func wiggleMaxLength(nums []int) int {
n := len(nums)
if n == 1 || n == 0 {
return n
}
up := make([]int, n)
for i := 0; i < n; i++ {
up[i] = 1
}
down := make([]int, n)
copy(down, up)
for i := 1; i < n; i++ {
for j := 0; j < i; j++ {
if nums[i] > nums[j] {
up[i] = utils.CalcMaxInt(up[i], down[j]+1)
} else if nums[i] < nums[j] {
down[i] = utils.CalcMaxInt(down[i], up[j]+1)
}
}
}
return utils.CalcMaxInt(up[n-1], down[n-1])
}