Search Insert Position
Problem Statement :
Given a sorted array of distinct integers and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order. You must write an algorithm with O(log n) runtime complexity. Example 1: Input: nums = [1,3,5,6], target = 5 Output: 2 Example 2: Input: nums = [1,3,5,6], target = 2 Output: 1 Example 3: Input: nums = [1,3,5,6], target = 7 Output: 4 Constraints: 1 <= nums.length <= 104 -104 <= nums[i] <= 104 nums contains distinct values sorted in ascending order. -104 <= target <= 104
Solution :
Solution in C :
int searchInsert(int* nums, int numsSize, int target){
int i;
for (i = 0; i < numsSize ; i++)
{
if (target<=nums[i])
break;
}
return i;
}
Solution in C++ :
class Solution {
public:
int searchInsert(vector<int>& nums, int target) {
int low=0;
int high=nums.size();
int mid;
if(target>nums[high-1]){
return high;
}
while(low<=high){
mid=(low+high)/2;
if(nums[mid]==target){
return mid;
}
if(target<nums[mid]){
high=mid-1;
}else{
low=mid+1;
}
}
return low;
}
};
Solution in Java :
class Solution {
public int searchInsert(int[] nums, int target) {
int start = 0;
int end = nums.length-1;
while (start <= end) {
int mid = start + (end-start)/2;
if (nums[mid] == target) return mid;
else if (nums[mid] > target) end = mid-1;
else start = mid+1;
}
return start;
}
}
Solution in Python :
class Solution:
def searchInsert(self, nums: List[int], target: int) -> int:
nums.append(target)
num = sorted(nums)
index = num.index(target)
return index
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