First Position of Target
2016-12-02 13:18
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For a given sorted array (ascending order) and a
find the first index of this number in
If the target number does not exist in the array, return
Have you met this question in a real interview?
Yes
Example
If the array is
这是一道二分搜索的题。跟一般的二分搜索的区别在于对于target == nums[mid]的情况,不会直接返回,而是继续执行,直到low,high重合。如果targe == nums[mid], 那么为了找下边界,所以要使high变低,low不变,这样能进一步缩小,从而找到目标值的下边界。
代码:
public int binarySearch(int[] nums, int target) {
//write your code here
if(nums == null || nums.length == 0) return -1;
int low = 0;
int high = nums.length-1;
while(low<high){
int mid = low +(high - low)/2;
if(nums[mid] > target){
high = mid -1;
}else if(nums[mid] < target){
low = mid +1;
}else{
high = mid;
}
}
return nums[low] == target?low:-1;
}
targetnumber,
find the first index of this number in
O(log n)time complexity.
If the target number does not exist in the array, return
-1.
Have you met this question in a real interview?
Yes
Example
If the array is
[1, 2, 3, 3, 4, 5, 10], for given target
3, return
2.
这是一道二分搜索的题。跟一般的二分搜索的区别在于对于target == nums[mid]的情况,不会直接返回,而是继续执行,直到low,high重合。如果targe == nums[mid], 那么为了找下边界,所以要使high变低,low不变,这样能进一步缩小,从而找到目标值的下边界。
代码:
public int binarySearch(int[] nums, int target) {
//write your code here
if(nums == null || nums.length == 0) return -1;
int low = 0;
int high = nums.length-1;
while(low<high){
int mid = low +(high - low)/2;
if(nums[mid] > target){
high = mid -1;
}else if(nums[mid] < target){
low = mid +1;
}else{
high = mid;
}
}
return nums[low] == target?low:-1;
}
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