| title | Two Sum II - Input Array Is Sorted | |||
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| difficulty | 🟡 Medium | |||
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| url | https://leetcode.com/problems/two-sum-ii-input-array-is-sorted/ |
Given a 1-indexed array of integers numbers that is already sorted in non-decreasing order, find two numbers such that they add up to a specific target number. Let these two numbers be numbers[index1] and numbers[index2] where 1 <= index1 < index2 <= numbers.length.
Return the indices of the two numbers, index1 and index2, added by one as an integer array [index1, index2] of length 2.
The tests are generated such that there is exactly one solution. You may not use the same element twice.
Your solution must use only constant extra space.
Example 1:
Input: numbers = [2,7,11,15], target = 9
Output: [1,2]
Explanation: The sum of 2 and 7 is 9. Therefore, index1 = 1, index2 = 2. We return [1, 2].
Example 2:
Input: numbers = [2,3,4], target = 6
Output: [1,3]
Explanation: The sum of 2 and 4 is 6. Therefore index1 = 1, index2 = 3. We return [1, 3].
Example 3:
Input: numbers = [-1,0], target = -1
Output: [1,2]
Explanation: The sum of -1 and 0 is -1. Therefore index1 = 1, index2 = 2. We return [1, 2].
2 <= numbers.length <= 3 * 10^4-1000 <= numbers[i] <= 1000numbersis sorted in non-decreasing order.-1000 <= target <= 1000- The tests are generated such that there is exactly one solution.
Since the array is sorted, we can use two pointers starting from opposite ends. The sum of elements at these pointers tells us which direction to move:
- Sum too small → move left pointer right (get a larger number)
- Sum too large → move right pointer left (get a smaller number)
- Sum equals target → found our pair
- Initialize
startpointer at index0andendpointer at the last index - While
start < end:- Calculate
current_sum = numbers[start] + numbers[end] - If
current_sum < target: incrementstart(need larger sum) - If
current_sum > target: decrementend(need smaller sum) - If
current_sum == target: return[start + 1, end + 1](1-indexed)
- Calculate
- Return
[-1, -1]if no pair found
-
Time Complexity:
$O(n)$ — Each pointer moves at most n times. -
Space Complexity:
$O(1)$ — Only two pointers used.
class Solution:
def twoSum(self, numbers: List[int], target: int) -> List[int]:
start = 0
end = len(numbers) - 1
while start < end:
current_sum = numbers[start] + numbers[end]
if current_sum < target:
start += 1
elif current_sum > target:
end -= 1
else:
return [start + 1, end + 1]
return [-1, -1]