Easy
Given an array of integers nums
and an integer target
, return indices of the two numbers such that they add up to target
.
You may assume that each input would have exactly one solution, and you may not use the same element twice.
You can return the answer in any order.
Example 1:
Input: nums = [2,7,11,15], target = 9
Output: [0,1]
Explanation: Because nums[0] + nums[1] == 9, we return [0, 1].
Example 2:
Input: nums = [3,2,4], target = 6
Output: [1,2]
Example 3:
Input: nums = [3,3], target = 6
Output: [0,1]
Constraints:
2 <= nums.length <= 104
-109 <= nums[i] <= 109
-109 <= target <= 109
Follow-up: Can you come up with an algorithm that is less than O(n2)
time complexity?
To solve the “Two Sum” problem in Swift using a Solution
class, follow these steps:
Understand the problem: You need to find two indices in the array nums
such that the numbers at those indices add up to target
. Each input has exactly one solution, and the same element cannot be used twice.
target - nums[i]
) has been seen before.Solution
class and the twoSum
method.Here is the Swift implementation of the solution:
class Solution {
func twoSum(_ nums: [Int], _ target: Int) -> [Int] {
// Create a dictionary to store the number and its index
var numDict = [Int: Int]()
// Iterate through the nums array
for (index, num) in nums.enumerated() {
// Calculate the complement
let complement = target - num
// Check if the complement exists in the dictionary
if let complementIndex = numDict[complement] {
// If found, return the indices
return [complementIndex, index]
}
// Otherwise, add the current number and its index to the dictionary
numDict[num] = index
}
// In case no solution is found (which shouldn't happen as per problem constraints)
return []
}
}
// Example usage:
let solution = Solution()
let nums1 = [2, 7, 11, 15]
let target1 = 9
print(solution.twoSum(nums1, target1)) // Output: [0, 1]
let nums2 = [3, 2, 4]
let target2 = 6
print(solution.twoSum(nums2, target2)) // Output: [1, 2]
let nums3 = [3, 3]
let target3 = 6
print(solution.twoSum(nums3, target3)) // Output: [0, 1]
numDict
): This dictionary keeps track of each number and its index as we iterate through the array.target - num
).This approach ensures that the solution has a time complexity of (O(n)), which is efficient for large input sizes.