First Missing Positive
Given an unsorted integer array, find the first missing positive integer.
For example,
Given [1,2,0]
return 3
,
and [3,4,-1,1]
return 2
.
Your algorithm should run in O(n) time and uses constant space.
[解题思路]
其实就是桶排序,只不过不许用额外空间。所以,每次当A[i]!= i的时候,将A[i]与A[A[i]]交换,直到无法交换位置。终止条件是 A[i]== A[A[i]]。
然后i -> 0 到n走一遍就好了。
题目说清楚了,很简单,但是实现起来还是有些细节比较烦人。首先,不能按照A[i] = i来存,因为题目要求寻找正数,如果A[0]用来存储0的话,会影响数据处理。比如当A = {1}的时候,如果A[0] = 0的话,根本没地方存1的值了。所以正确的存储方式应该是A[i]= i+1.
如果当前数组找不到目标值的话,那么目标值就应该是n+1.这个容易漏了。
1 public class Solution { 2 public int firstMissingPositive(int[] A) { 3 // Note: The Solution object is instantiated only once and is reused by each test case. 4 if(A == null || A.length == 0) 5 return 1; 6 int len = A.length; 7 for(int i = 0; i < len; i ++){ 8 while(A[i] != i + 1){ 9 if(A[i] < 1 || A[i] > len || A[i] == A[A[i] - 1]){// 最后一个说明有重复[ 1, 1 ] 10 break; 11 } 12 else{ 13 int tmp = A[i]; 14 A[i] = A[tmp - 1]; 15 A[tmp - 1] = tmp; 16 } 17 } 18 } 19 for(int i = 0; i < len; i ++){ 20 if(A[i] != i + 1){ 21 return i + 1; 22 } 23 } 24 return len + 1; 25 } 26 }
第二遍:
这个就是桶排序, 先确定桶的大小,即max。 然后将存在的元素填到桶里去。 再遍历一次就可以找出那个数字。
1 public class Solution { 2 public int firstMissingPositive(int[] A) { 3 // Note: The Solution object is instantiated only once and is reused by each test case. 4 if(A == null || A.length == 0) return 1; 5 int max = 0; 6 for(int i = 0; i < A.length; i ++){ 7 max = max < A[i] ? A[i] : max; 8 } 9 boolean[] map = new boolean[max]; 10 for(int i = 0; i < A.length; i ++){ 11 if(A[i] > 0) map[A[i] - 1] = true; 12 } 13 for(int i = 0; i < map.length; i ++){ 14 if(!map[i]) return i + 1; 15 } 16 return map.length + 1; 17 } 18 }
第三遍:
1 public class Solution { 2 public int firstMissingPositive(int[] A) { 3 if(A == null || A.length == 0) return 1; 4 for(int i = 0; i < A.length; i ++){ 5 while(A[i] != i + 1){ 6 if(A[i] < 1 || A[i] > A.length || A[i] == A[A[i] - 1]) break; 7 int tmp = A[i]; 8 A[i] = A[tmp - 1]; 9 A[tmp - 1] = tmp; 10 } 11 } 12 for(int i = 0; i < A.length; i ++) 13 if(A[i] != i + 1) return i + 1; 14 return A.length + 1; 15 } 16 }
posted on 2013-10-11 13:10 Step-BY-Step 阅读(127) 评论(0) 编辑 收藏 举报