README_EN.md

1. Two Sum

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Description

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
• Only one valid answer exists.

 

Follow-up: Can you come up with an algorithm that is less than O(n2) time complexity?

Solutions

Solution 1: Hash Table

We can use the hash table $m$ to store the array value and the corresponding subscript.

Traverse the array nums, when you find target - nums[i] in the hash table, it means that the target value is found, and the index of target - nums[i] and $i$ are returned.

The time complexity is $O(n)$ and the space complexity is $O(n)$. Where $n$ is the length of the array nums.

Python3

class Solution:
    def twoSum(self, nums: List[int], target: int) -> List[int]:
        m = {}
        for i, x in enumerate(nums):
            y = target - x
            if y in m:
                return [m[y], i]
            m[x] = i

Java

class Solution {
    public int[] twoSum(int[] nums, int target) {
        Map<Integer, Integer> m = new HashMap<>();
        for (int i = 0;; ++i) {
            int x = nums[i];
            int y = target - x;
            if (m.containsKey(y)) {
                return new int[] {m.get(y), i};
            }
            m.put(x, i);
        }
    }
}

C++

class Solution {
public:
    vector<int> twoSum(vector<int>& nums, int target) {
        unordered_map<int, int> m;
        for (int i = 0;; ++i) {
            int x = nums[i];
            int y = target - x;
            if (m.count(y)) {
                return {m[y], i};
            }
            m[x] = i;
        }
    }
};

Go

func twoSum(nums []int, target int) []int {
	m := map[int]int{}
	for i := 0; ; i++ {
		x := nums[i]
		y := target - x
		if j, ok := m[y]; ok {
			return []int{j, i}
		}
		m[x] = i
	}
}

C#

public class Solution {
    public int[] TwoSum(int[] nums, int target) {
        var m = new Dictionary<int, int>();
        for (int i = 0, j; ; ++i) {
            int x = nums[i];
            int y = target - x;
            if (m.TryGetValue(y, out j)) {
                return new [] {j, i};
            }
            if (!m.ContainsKey(x)) {
                m.Add(x, i);
            }
        }
    }
}

JavaScript

/**
 * @param {number[]} nums
 * @param {number} target
 * @return {number[]}
 */
var twoSum = function (nums, target) {
    const m = new Map();
    for (let i = 0; ; ++i) {
        const x = nums[i];
        const y = target - x;
        if (m.has(y)) {
            return [m.get(y), i];
        }
        m.set(x, i);
    }
};

Swift

class Solution {
    func twoSum(_ nums: [Int], _ target: Int) -> [Int] {
        var m = [Int: Int]()
        var i = 0
        while true {
            let x = nums[i]
            let y = target - nums[i]
            if let j = m[target - nums[i]] {
                return [j, i]
            }
            m[nums[i]] = i
            i += 1
        }
    }
}

Rust

use std::collections::HashMap;

impl Solution {
    pub fn two_sum(nums: Vec<i32>, target: i32) -> Vec<i32> {
        let mut map = HashMap::new();
        for (i, item) in nums.iter().enumerate() {
            if map.contains_key(item) {
                return vec![i as i32, map[item]];
            } else {
                let x = target - nums[i];
                map.insert(x, i as i32);
            }
        }
        unreachable!()
    }
}

Nim

import std/enumerate

proc twoSum(nums: seq[int], target: int): seq[int] =
    var
        bal: int
        tdx: int
    for idx, val in enumerate(nums):
        bal = target - val
        if bal in nums:
            tdx = nums.find(bal)
            if idx != tdx:
                return @[idx, tdx]

PHP

class Solution {
    /**
     * @param Integer[] $nums
     * @param Integer $target
     * @return Integer[]
     */
    function twoSum($nums, $target) {
        foreach ($nums as $key => $x) {
            $y = $target - $x;
            if (isset($hashtable[$y])) {
                return [$hashtable[$y], $key];
            }
            $hashtable[$x] = $key;
        }
    }
}

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