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【每日力扣19】外观数列

本文主要是介绍【每日力扣19】外观数列,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!

一、题目[LeetCode-38]

给定一个正整数 n ,输出外观数列的第 n 项。

「外观数列」是一个整数序列,从数字 1 开始,序列中的每一项都是对前一项的描述。

你可以将其视作是由递归公式定义的数字字符串序列:

countAndSay(1) = "1"

countAndSay(n) 是对 countAndSay(n-1) 的描述,然后转换成另一个数字字符串。

前五项如下:

1.     1

2.     11

3.     21

4.     1211

5.     111221

第一项是数字 1

描述前一项,这个数是 1 即 “ 一 个 1 ”,记作 "11"

描述前一项,这个数是 11 即 “ 二 个 1 ” ,记作 "21"

描述前一项,这个数是 21 即 “ 一 个 2 + 一 个 1 ” ,记作 "1211"

描述前一项,这个数是 1211 即 “ 一 个 1 + 一 个 2 + 二 个 1 ” ,记作 "111221"

描述 一个数字字符串,首先要将字符串分割为 最小 数量的组,每个组都由连续的最多 相同字符 组成。然后对于每个组,先描述字符的数量,然后描述字符,形成一个描述组。要将描述转换为数字字符串,先将每组中的字符数量用数字替换,再将所有描述组连接起来。

例如,数字字符串 "3322251" 的描述如下图:

示例 1:

输入:n = 1

输出:"1"

解释:这是一个基本样例。

示例 2:

输入:n = 4

输出:"1211"

解释:

countAndSay(1) = "1"

countAndSay(2) = 读 "1" = 一 个 1 = "11"

countAndSay(3) = 读 "11" = 二 个 1 = "21"

countAndSay(4) = 读 "21" = 一 个 2 + 一 个 1 = "12" + "11" = "1211"

提示:

1 <= n <= 30

 

二、思路

双指针法

本题与《Day1 剔除数组中重复元素》思想类似,可以使用快慢指针,块指针向前遍历数组,当发现前方有不一致元素时慢指针更新,只不过更新方式不一样,《Day1 剔除数组中重复元素》是直接j++;而本题便是j=i+1,因为本题慢指针用于保存相同区域的首元素索引,从而便于后面表示出“这块区域有多少个数”。

class Solution {
public:
    string countAndSay(int n) {
        if (n == 1)
            return "1";//n==1时的基本样例(递归基)
        if (n == 2)
            return"11";//n==2时的基本样例(递归基)
        string s = countAndSay(n - 1);//递归调用前一个结果
        int size = s.size();
        string m;//这是将要返回的字符串
        for (int i = 0, j = 0; i < size - 1; i++)//使用双指针i和j,i向前遍历,j用于保存i所在的相同字符的区域的第一个索引
        {
            if (s[i] != s[i + 1])//一旦发现连续相同字符的区域结束,下一位开始是新的字符时,
            {
                m.push_back('0'+i + 1 - j);//存入这片区域的长度
                j = i + 1;//并更新慢指针j
                m.push_back(s[i]);//存入这片区域的数值
                if (i == size - 2)//如果最后一片区域长度恰好为1(该for循环无法遍历到最后一位元素),
                {
                    m.push_back('1');//这里专门存储这片区域
                    m.push_back(s[i+1]);
                }
            }
            else
                if (i == size - 2)//如果最后一片区域长度大于1,
                {
                    m.push_back('0' + size - j);//对其进行存入
                    m.push_back(s[i]);
                }
        }
        return m;
    }
};

 

三、官方解法(力扣(LeetCode))

方法一:遍历生成(与笔者思路类似,但是代码更简洁)

通过阅读题目,我们可以了解到所谓的「外观数列」,其实本质上只是依次统计字符串中连续相同字符的个数。

例如字符串 1112234445666 我们依次统计连续相同字符的个数为: 3 个连续的字符 1, 2 个连续的 1,1 个连续的字符 3,3 个连续的字符 4,1 个连续的字符 5,3 个连续的字符 6。我们对其进行整理为 (3)1(2)2(1)3(3)4(1)5(3)6,我们将括号内的数字也转换为字符串为 312213341536。

题目中给定的递归公式定义的数字字符串序列如下:

countAndSay(1) = "1";

countAndSay(n) 是对 countAndSay(n-1) 的描述,然后转换成另一个数字字符串。

我们定义字符串 Si 表示 countAndSay(i),我们如果要求得 Sn,则我们需先求出Sn−1,然后按照上述描述的方法生成,即从左到右依次扫描字符串 S

n−1中连续相同的字符的最大数目,然后将字符的统计数目转化为数字字符串再连接上对应的字符。我们已知 S1 为 "1",我们按照上述方法依次生成即可。

class Solution {
public:
    string countAndSay(int n) {
        string prev = "1";
        for (int i = 2; i <= n; ++i) {
            string curr = "";
            int start = 0;
            int pos = 0;

            while (pos < prev.size()) {
                while (pos < prev.size() && prev[pos] == prev[start]) {
                    pos++;
                }
                curr += to_string(pos - start) + prev[start];
                start = pos;
            }
            prev = curr;
        }
        
        return prev;
    }
};

作者:LeetCode-Solution
链接:https://leetcode-cn.com/problems/count-and-say/solution/wai-guan-shu-lie-by-leetcode-solution-9rt8/
来源:力扣(LeetCode)
著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。

复杂度分析

  • 时间复杂度:O(N×M),其中 N 为给定的正整数,M 为生成的字符串中的最大长度。
  • 空间复杂度:O(M)。其中M 为生成的字符串中的最大长度。

方法二:枚举查表(不推荐)

题目中给定的数量限制为 1≤n≤30,由于数量很小,我们只需要依次生成前 30 个 ountAndSay 字符串并将其存储为静态数组,每次直接查询数组中的第 n 个元素即可。

class Solution {
public:
    string countAndSay(int n) {
        vector<string> arr = 
        {
            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        };
        return arr[n];        
    }
};

作者:LeetCode-Solution
链接:https://leetcode-cn.com/problems/count-and-say/solution/wai-guan-shu-lie-by-leetcode-solution-9rt8/
来源:力扣(LeetCode)
著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。

复杂度分析

  • 时间复杂度:O(1)。
  • 空间复杂度:O(C×M)。其中 C 是 N 是上界,在本题中 C=30,M 为生成的字符串中的最大长度。

四、学习心得

双指针的应用

本题的关键在于看懂题目的意思,然后去结合题意使用双指针法。

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