最长湍流子数组

package cn.tiger.funny;

/**
 * 最长湍流子数组
 * @author jyuan
 *
当 A 的子数组 A[i], A[i+1], ..., A[j] 满足下列条件时,我们称其为湍流子数组:

若 i <= k < j,当 k 为奇数时, A[k] > A[k+1],且当 k 为偶数时,A[k] < A[k+1];
或 若 i <= k < j,当 k 为偶数时,A[k] > A[k+1] ,且当 k 为奇数时, A[k] < A[k+1]。
也就是说,如果比较符号在子数组中的每个相邻元素对之间翻转,则该子数组是湍流子数组。

返回 A 的最大湍流子数组的长度。

 

示例 1:

输入:[9,4,2,10,7,8,8,1,9]
输出:5
解释:(A[1] > A[2] < A[3] > A[4] < A[5])
示例 2:

输入:[4,8,12,16]
输出:2
示例 3:

输入:[100]
输出:1
 

提示:

1 <= A.length <= 40000
0 <= A[i] <= 10^9

来源:力扣(LeetCode)
链接:https://leetcode-cn.com/problems/longest-turbulent-subarray
著作权归领扣网络所有。商业转载请联系官方授权,非商业转载请注明出处。
 */
public class MaxTurbulenceSize {
    int state = 0;  
    //如果是1,则当前是增加
    //如果是-1,则当前是递减
    //如果是01,则当前是==
    public int maxTurbulenceSize(int[] arr) {
        //动态规划显示每个数字对应的最大湍流子数组的长度
        int[] mark = new int[arr.length]; 
        for (int i = 0; i < arr.length; i++) {
            if(i == 0) {
                mark[i] = 1;
                continue;
            }
            if(state == 0) {
                if(arr[i] >  arr[i-1]) {
                    state = 1;
                    mark[i] = 2;
                } else if (arr[i] < arr[i-1]){
                    state = -1;
                    mark[i] = 2;
                } else {
                    state = 0;
                    mark[i] = 1;
                }
            } else if (state == 1){
                if(arr[i] >  arr[i-1]) {
                    state = 1;
                    mark[i] = 2;
                } else if (arr[i] < arr[i-1]){
                    state = -1;
                    mark[i] = mark[i-1]+1;
                } else {
                    state = 0;
                    mark[i] = 1;
                }
            } else {
                if(arr[i] >  arr[i-1]) {
                    state = 1;
                    mark[i] = mark[i-1]+1;
                } else if (arr[i] < arr[i-1]){
                    state = -1;
                    mark[i] = 2;
                } else {
                    state = 0;
                    mark[i] = 1;
                }
            }
        }
        int max =0;
        for (int i = 0; i < mark.length; i++) {
            max = mark[i] > max? mark[i]:max;
        }
        return max;

    }
    
    public static void main(String[] args) {
        MaxTurbulenceSize m = new MaxTurbulenceSize();
        int[] aaa = {9,4,2,10,7,8,8,1,9};
        System.out.println(m.maxTurbulenceSize(aaa));
    }
}

 

posted @ 2021-02-08 20:54  预言2018  阅读(54)  评论(0)    收藏  举报