寻找最长双音素子序列的 Java 程序

原文:https://www . geesforgeks . org/Java-program-to-find-最长的双音素子序列/

给定一个包含 n 个正整数的数组 arr[0 … n-1],arr[]的一个子序列如果先递增后递减,则称为 Bitonic。编写一个函数,以数组为参数,返回最长的双音素子序列的长度。 按递增顺序排序的序列被认为是双音素的,递减部分为空。类似地,递减顺序被认为是 Bitonic,递增部分为空。 示例:

Input arr[] = {1, 11, 2, 10, 4, 5, 2, 1};
Output: 6 (A Longest Bitonic Subsequence of length 6 is 1, 2, 10, 4, 2, 1)

Input arr[] = {12, 11, 40, 5, 3, 1}
Output: 5 (A Longest Bitonic Subsequence of length 5 is 12, 11, 5, 3, 1)

Input arr[] = {80, 60, 30, 40, 20, 10}
Output: 5 (A Longest Bitonic Subsequence of length 5 is 80, 60, 30, 20, 10)

来源:微软面试问题

这个问题是标准最长递增子序列(LIS)问题的变种。假设输入数组是长度为 n 的 arr[],我们需要使用 LIS 问题的动态规划解来构造两个数组 lis[]和 lds[]。lis[i]存储以 arr[i]结尾的最长递增子序列的长度。lds[i]存储从 arr[i]开始的最长递减子序列的长度。最后,我们需要返回 lis[I]+LDS[I]–1 的最大值,其中 I 是从 0 到 n-1。 以下是上述动态规划解决方案的实现。

Java 语言(一种计算机语言,尤用于创建网站)

/* Dynamic Programming implementation in Java for longest bitonic
   subsequence problem */
import java.util.*;
import java.lang.*;
import java.io.*;

class LBS
{
    /* lbs() returns the length of the Longest Bitonic Subsequence in
    arr[] of size n. The function mainly creates two temporary arrays
    lis[] and lds[] and returns the maximum lis[i] + lds[i] - 1.

    lis[i] ==> Longest Increasing subsequence ending with arr[i]
    lds[i] ==> Longest decreasing subsequence starting with arr[i]
    */
    static int lbs( int arr[], int n )
    {
        int i, j;

        /* Allocate memory for LIS[] and initialize LIS values as 1 for
            all indexes */
        int[] lis = new int[n];
        for (i = 0; i < n; i++)
            lis[i] = 1;

        /* Compute LIS values from left to right */
        for (i = 1; i < n; i++)
            for (j = 0; j < i; j++)
                if (arr[i] > arr[j] && lis[i] < lis[j] + 1)
                    lis[i] = lis[j] + 1;

        /* Allocate memory for lds and initialize LDS values for
            all indexes */
        int[] lds = new int [n];
        for (i = 0; i < n; i++)
            lds[i] = 1;

        /* Compute LDS values from right to left */
        for (i = n-2; i >= 0; i--)
            for (j = n-1; j > i; j--)
                if (arr[i] > arr[j] && lds[i] < lds[j] + 1)
                    lds[i] = lds[j] + 1;

        /* Return the maximum value of lis[i] + lds[i] - 1*/
        int max = lis[0] + lds[0] - 1;
        for (i = 1; i < n; i++)
            if (lis[i] + lds[i] - 1 > max)
                max = lis[i] + lds[i] - 1;

        return max;
    }

    public static void main (String[] args)
    {
        int arr[] = {0, 8, 4, 12, 2, 10, 6, 14, 1, 9, 5,
                    13, 3, 11, 7, 15};
        int n = arr.length;
        System.out.println("Length of LBS is "+ lbs( arr, n ));
    }
}

输出:

 Length of LBS is 7

时间复杂度:O(n^2) 辅助空间:O(n)

详情请参考最长双音素子序列| DP-15 的完整文章!