[Leetcode] 484. Find Permutation 解题报告

本文介绍了一种算法,用于寻找能构造特定秘密签名的字典序最小的排列。通过分析字符'D'和'I'组成的秘密签名,找到满足条件的整数排列。

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题目

By now, you are given a secret signature consisting of character 'D' and 'I'. 'D' represents a decreasing relationship between two numbers, 'I' represents an increasing relationship between two numbers. And our secret signature was constructed by a special integer array, which contains uniquely all the different number from 1 to n (n is the length of the secret signature plus 1). For example, the secret signature "DI" can be constructed by array [2,1,3] or [3,1,2], but won't be constructed by array [3,2,4] or [2,1,3,4], which are both illegal constructing special string that can't represent the "DI" secret signature.

On the other hand, now your job is to find the lexicographically smallest permutation of [1, 2, ... n] could refer to the given secret signature in the input.

Example 1:

Input: "I"
Output: [1,2]
Explanation: [1,2] is the only legal initial spectial string can construct secret signature "I", where the number 1 and 2 construct an increasing relationship.

Example 2:

Input: "DI"
Output: [2,1,3]
Explanation: Both [2,1,3] and [3,1,2] can construct the secret signature "DI", 
but since we want to find the one with the smallest lexicographical permutation, you need to output [2,1,3]

Note:

  • The input string will only contain the character 'D' and 'I'.
  • The length of input string is a positive integer and will not exceed 10,000

    思路

    很巧妙的一道题目:为了使得permutation最小,我们需要注意D连续出现的次数(不连续的情况就无所谓了,因为有I会调节)。只要在I前面(或者整个字符串的末尾之前)出现了n次D,那么我们就在ret中填入n+1个逆序序列,而这n+1个逆序序列的范围由ret当前的size确定(例如当ret的size为0时,我们就填入n + 1, n, ...1;如果ret的size为2,我们就填入n + 3, n+2,...3)。这样就保证了在D出现的位置上我们都填了尽可能小的数字。整个算法的时间复杂度是O(n),其中n是字符串s的长度。

    代码

    class Solution {
    public:
        vector<int> findPermutation(string s) {
            vector<int> ret;
            for (int i = 0; i <= s.size(); ++i) {
                if (i == s.size() || s[i] == 'I') {
                    int len_tmp = ret.size();
                    for (int j = i + 1; j > len_tmp; --j) {
                        ret.push_back(j);
                    }
                }
            }
            return ret;
        }
    };
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