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题目地址
https://leetcode.com/problems/wiggle-subsequence/description/
题目描述
376. 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
思路
dp可解.
- 对于每一个位置. 有三种状态情况.
- 向上位置, nums[i] > nums[i-1].
- 向下位置, nums[i] < nums[i-1].
- 相等位置, nums[i] == nums[i-1].
- 因此我们可以使用两个数组来记录当前位置的最大的wiggle sequence length.
- 如果nums[i] > nums[i-1], 就是向上, 则之前必须为向下, up[i] = down[i-1] + 1, down数组不变.
- 如果nums[i] < nums[i-1], 就是向下, 则之前必须为向上, down[i] = up[i-1] + 1, up数组不变.
- 如果nums[i] == nums[i-1], 不会变. up[i] = up[i - 1], down[i] = down[i - 1], 原因是subsequence可以删除重复相等元素, 所以我们记录最大值.
关键点
- init up[0] = 1. down[0] = 1.
- 最后返回Math.max(down[nums.length-1],up[nums.length-1]).
- 可以优化空间为, 两个数组变为两个count来记录.
代码
- 语言支持:Java
class Solution {
public int wiggleMaxLength(int[] nums) {
if (nums == null || nums.length == 0) {
return 0;
}
int[] up = new int[nums.length];
int[] down = new int[nums.length];
up[0] = 1;
down[0] = 1;
for (int i = 1; i < nums.length; i++) {
if (nums[i] > nums[i - 1]) {
up[i] = down[i - 1] + 1;
down[i] = down[i - 1];
} else if (nums[i] < nums[i - 1]) {
down[i] = up[i - 1] + 1;
up[i] = up[i - 1];
} else {
up[i] = up[i - 1];
down[i] = down[i - 1];
}
}
return Math.max(up[nums.length - 1], down[nums.length - 1]);
}
}
// dp 优化
class Solution {
public int wiggleMaxLength(int[] nums) {
if (nums == null || nums.length == 0) {
return 0;
}
int n = nums.length;
int up = 1;
int down = 1;
for (int i = 1; i < n; 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);
}
}
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