Challenge Description: Two Sum II – Input array is sorted
Approach #1: binary search
Note the input array is already sorted. So we can iterate all the elements, for each element(suppose with a value of v1), we try to find another element with the value of targetv1
. Binary search will suitable for this task.
The overall time complexity is (O(NlogN)).
class Solution {
public:
vector<int> twoSum(vector<int>& numbers, int target) {
for(int i=0 ;i<numbers.size()  1; i++) {
int l = i + 1;
int r = numbers.size()  1;
int t = target  numbers[i];
while(l <= r) {
int m = (l + r) / 2;
if(numbers[m] == t) {
return vector<int> { i+1, m+1 };
} else if (numbers[m] > t) {
r = m  1;
} else {
l = m + 1;
}
}
}
return vector<int>{};
}
};
Approach #2: twoslice
The idea of two slices is similar to binary search. In this approach, we use two index, index l
is from left to right, index r
is from right to left.
In each iteration, we compare the current sum of two elements with the target. There are tree cases:
 sum == target , then we need return current two indexes.

sum > target , then we need to decrease index
r
. 
sum < target , then we need to increase index
l
.
The time complexity is (O(N)).
class Solution {
public:
vector<int> twoSum(vector<int>& numbers, int target) {
int l = 0;
int r = numbers.size()1;
while(l < r) {
int s = numbers[l] + numbers[r];
if(s == target) return vector<int> {l+1, r+1};
if(s > target) r;
if(s < target) l++;
}
return vector<int>{};
}
};
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