34 Search for a Range
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]
.
分析&& 代码
这个居然是最近google家的面经:3,真的是人和人运气不同
看了一眼discuss也没什么特别的好做法,就是两边Binary search找到最左和最右,这题是返回左右index,面经是返回个数,反正都是一个道理
public int getNum(int[] arr, int target) {
if(arr.length == 0) {
return -1;
}
return findRight(arr, target) - findLeft(arr, target) + 1;
}
private int findLeft(int[] arr, int target) {
int left = 0;
int right = arr.length - 1;
while(left <= right) {
int mid = left + (right - left) / 2;
if(arr[mid] == target) {
if(mid != 0 && arr[mid - 1] == target) {
right = mid - 1;
} else {
return mid;
}
} else if(arr[mid] > target) {
right = mid - 1;
} else {
left = mid + 1;
}
}
return -1;
}
private int findRight(int[] arr, int target) {
int left = 0;
int right = arr.length - 1;
while(left <= right) {
int mid = left + (right - left) / 2;
if(arr[mid] == target) {
if(mid != 0 && arr[mid + 1] == target) {
left = mid + 1;
} else {
return mid;
}
} else if(arr[mid] > target) {
right = mid - 1;
} else {
left = mid + 1;
}
}
return -1;
}
反正都O(logn)