Implement next permutation, which rearranges numbers into the lexicographically next greater permutation of numbers.
If such arrangement is not possible, it must rearrange it as the lowest possible order (ie, sorted in ascending order).
The replacement must be in-place and use only constant extra memory.
Here are some examples. Inputs are in the left-hand column and its corresponding outputs are in the right-hand column.
1,2,3 → 1,3,23,2,1 → 1,2,31,1,5 → 1,5,1
O(log n) =>想到二分法
class Solution { public int search(int[] nums, int target) { return binarySearch(nums,target,0,nums.length-1); } public int binarySearch(int[] nums, int target, int left, int right){ if(left > right) return -1; //not found int mid = left + ((right-left)>>1); if(target == nums[mid]) return mid; //found if(nums[mid] < nums[left]){//rotate in the left part if(target < nums[mid] || target >nums[right]){ //target in the left part return binarySearch(nums,target,left,mid-1); } else{ //target in the right part return binarySearch(nums,target,mid+1,right); } } else if(nums[mid] > nums[right]){ //rotate in the right part if(target > nums[mid] || target < nums[left]) {//target in the right part return binarySearch(nums,target,mid+1,right); } else{//target in the left part return binarySearch(nums,target,left,mid-1); } } else{ //no rotate if(target < nums[mid]){ return binarySearch(nums,target,left,mid-1); } else{ return binarySearch(nums,target,mid+1,right); } } } }
博客介绍了实现下一个排列的需求,即把数字重新排列成字典序中下一个更大的排列,若无法实现则排成最小顺序,且要求原地替换、仅用常量额外内存,还提到由O(log n)想到二分法。
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