Given an array of integers nums
sorted in non-decreasing order, find the starting and ending position of a given target
value.
If target
is not found in the array, return [-1, -1]
.
You must write an algorithm with O(log n)
runtime complexity.
Example 1:
Input: nums = [5,7,7,8,8,10], target = 8 Output: [3,4]
Example 2:
Input: nums = [5,7,7,8,8,10], target = 6 Output: [-1,-1]
Example 3:
Input: nums = [], target = 0 Output: [-1,-1]
Constraints:
0 <= nums.length <= 105
-109 <= nums[i] <= 109
nums
is a non-decreasing array.-109 <= target <= 109
思路:两个method,模板走起。
class Solution {
public int[] searchRange(int[] nums, int target) {
int[] res = new int[]{-1,-1};
if(nums == null || nums.length == 0) {
return res;
}
res[0] = findFirstPosition(nums, 0, nums.length - 1, target);
res[1] = findLastPosition(nums, 0, nums.length - 1, target);
return res;
}
private int findFirstPosition(int[] A, int start, int end, int target) {
while(start + 1 < end) {
int mid = start + (end - start) / 2;
if(A[mid] == target) {
end = mid;
} else if(A[mid] > target) {
end = mid;
} else {
// A[mid] < target;
start = mid;
}
}
if(A[start] == target) {
return start;
}
if(A[end] == target) {
return end;
}
return -1;
}
private int findLastPosition(int[] A, int start, int end, int target) {
while(start + 1 < end) {
int mid = start + (end - start) / 2;
if(A[mid] == target) {
start = mid;
} else if(A[mid] > target) {
end = mid;
} else {
// A[mid] < target;
start = mid;
}
}
if(A[end] == target) {
return end;
}
if(A[start] == target) {
return start;
}
return -1;
}
}