• leetcode -- Search for a Range (TODO)


    Given a sorted array of integers, find the starting and ending position of a given target value.

    Your algorithm's runtime complexity must be in the order of O(log n).

    If the target is not found in the array, return [-1, -1].

    For example,
    Given [5, 7, 7, 8, 8, 10] and target value 8,
    return [3, 4].

    思路:

    使用二分搜索找到target的idx,然后查看该idx的左右确定范围。

    算法复杂度:

    平均情况下是O(lgn);

    最坏情况下数组中所有元素都相同O(n);

     1 public class Solution {
     2     public int[] searchRange(int[] A, int target) {
     3         // Start typing your Java solution below
     4         // DO NOT write main() function
     5         int idx = binarySearch(A, target);
     6         int len = A.length;
     7         int[] results = null;
     8         if(idx == -1){
     9             results = new int[]{-1, -1};
    10         } else{
    11             int l = idx;
    12             int r = idx;
    13             while(l >= 0 && A[l] == target){
    14                 l--;
    15             }
    16             l++;
    17             
    18             while(r < len && A[r] == target){
    19                 r++;
    20             }
    21             r--;
    22             results = new int[]{l, r};
    23         }
    24         return results;
    25     }
    26     
    27     public int binarySearch(int[] A, int target){
    28         int len = A.length;
    29         int l = 0, r = len - 1;
    30         while(l <= r){
    31             int mid = (l + r) / 2;
    32             if(target == A[mid])
    33                 return mid;
    34             
    35             if(target > A[mid]){
    36                 l = mid + 1;
    37             } else {
    38                 r = mid - 1;
    39             }
    40         }
    41         
    42         return -1;
    43     }
    44 }

    google了下,要保证最坏情况下时间复杂度为O(lgn):进行两次二分搜索确定左右边界

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  • 原文地址:https://www.cnblogs.com/feiling/p/3231241.html
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