LeetCode-in-All

1. Two Sum

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:

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:

  1. 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.

  2. Plan your approach:
    • Use a dictionary to store the difference between the target and each number in the array. This dictionary will help in checking if the complement of the current number (i.e., target - nums[i]) has been seen before.
    • Iterate through the array, and for each element, check if it exists in the dictionary.
    • If it exists, return the indices of the current element and the stored element.
    • If it does not exist, add the element and its index to the dictionary.
  3. Implement the solution:
    • Define the Solution class and the twoSum method.
    • Use a dictionary to keep track of the numbers and their indices.
    • Iterate through the array and perform the necessary checks and updates.

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]

Explanation:

This approach ensures that the solution has a time complexity of (O(n)), which is efficient for large input sizes.