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].
解法1
Analysis
Helper function:
用binary search找到第一次出现的index
low =0, high = length (low inclusive, high exclusive)
- While condition: low<high
- mid = (low+high)/2
- If mid < target, left boundary is on the right, low=mid+1
- If mid > target, left boundary is on the left, high = mid
- If mid = target, left boundary is either on the left or mid, high = mid+1 (but if use mid+1, will cause dead cycle, try example with high = mid and works, merge with 3)
综上所述,和标准的binary search唯一不同的是mid=target的情况和mid>target合并
跳出while时,如果array里有target,则low指向以一个target,如果没有,则low指向target应该插入的地方
返回low
Main function:
- 找出target第一次出现的位置为left,没有出现这个数的情况有两种:
- left==nums.length (target的值大于所有nums里的数)
- nums[left]!=target(target的值在nums范围里或者小于所有数)
注意的一定要先判断第一个条件,否则第二个条件会out of bound
- 如果不是上面两种情况的话则一定找到了target,这时左边界就是left,右边界是 binarySearch(nums, target + 1) - 1
Code
public class Solution {
public int[] searchRange(int[] nums, int target) {
int left = binarySearch(nums, target);
if (left == nums.length || nums[left] != target) {
return new int[]{-1, -1};
}
return new int[]{left, binarySearch(nums, target + 1) - 1};
}
private int binarySearch(int[]nums, int target){
int low=0, high = nums.length;
while(low<high){
int mid = low+(high-low)/2;
if (nums[mid]<target){low=mid+1;}
if (nums[mid]>=target){high=mid;}
}
return low;
}
}
Note
还有一种解法是找一次左边界,一次右边界,会比以上方法复杂,因为要写两种不同条件的binary search。具体参照
Ref1
Ref2
Reference
解法2:
碰到mid==target的情况把左右边界++,--。performance没那么好,代码比较容易记住。
public class Solution {
public int[] searchRange(int[] nums, int target) {
int[] res = new int[] {-1, -1};
if (nums == null || nums.length ==0) return res;
int start=0, end = nums.length-1;
while (start + 1 < end){
int mid = start + (end - start)/2;
if (nums[mid] == target){
if (nums[start]!=target) start++;
if (nums[end]!=target) end--;
if (nums[start]==target && nums[end]==target) break;
}
else if (nums[mid] < target){
start = mid;
}
else {
end = mid;
}
}
if (nums[start]==target && nums[end]==target) {res[0] = start; res[1] = end;}
else if (nums[start]==target) {res[0] = start; res[1] = start;}
else if (nums[end]==target) {res[0] = end; res[1] = end;}
return res;
}
}
解法3:
左右边界找两次
public class Solution {
public int[] searchRange(int[] A, int target) {
if (A.length == 0) {
return new int[]{-1, -1};
}
int start, end, mid;
int[] bound = new int[2];
// search for left bound
start = 0;
end = A.length - 1;
while (start + 1 < end) {
mid = start + (end - start) / 2;
if (A[mid] == target) {
end = mid;
} else if (A[mid] < target) {
start = mid;
} else {
end = mid;
}
}
if (A[start] == target) {
bound[0] = start;
} else if (A[end] == target) {
bound[0] = end;
} else {
bound[0] = bound[1] = -1;
return bound;
}
// search for right bound
start = 0;
end = A.length - 1;
while (start + 1 < end) {
mid = start + (end - start) / 2;
if (A[mid] == target) {
start = mid;
} else if (A[mid] < target) {
start = mid;
} else {
end = mid;
}
}
if (A[end] == target) {
bound[1] = end;
} else if (A[start] == target) {
bound[1] = start;
} else {
bound[0] = bound[1] = -1;
return bound;
}
return bound;
}
}
Reference: jiuzhang