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Easy
Array
Hash Table

1. Two Sum

中文文档

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 a hash table $\textit{d}$ to store each element and its corresponding index.

Traverse the array $\textit{nums}$, for the current element $\textit{nums}[i]$, we first check if $\textit{target} - \textit{nums}[i]$ is in the hash table $\textit{d}$. If it is in $\textit{d}$, it means the $\textit{target}$ value has been found, and we return the indices of $\textit{target} - \textit{nums}[i]$ and $i$.

Time complexity is $O(n)$, and space complexity is $O(n)$, where $n$ is the length of the array $\textit{nums}$.

Python3

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

Java

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

C++

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

Go

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

TypeScript

function twoSum(nums: number[], target: number): number[] {
    const d = new Map<number, number>();
    for (let i = 0; ; ++i) {
        const x = nums[i];
        const y = target - x;
        if (d.has(y)) {
            return [d.get(y)!, i];
        }
        d.set(x, i);
    }
}

Rust

use std::collections::HashMap;

impl Solution {
    pub fn two_sum(nums: Vec<i32>, target: i32) -> Vec<i32> {
        let mut d = HashMap::new();
        for (i, &x) in nums.iter().enumerate() {
            let y = target - x;
            if let Some(&j) = d.get(&y) {
                return vec![j as i32, i as i32];
            }
            d.insert(x, i);
        }
        vec![]
    }
}

JavaScript

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

C#

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

PHP

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

Scala

import scala.collection.mutable

object Solution {
    def twoSum(nums: Array[Int], target: Int): Array[Int] = {
        val d = mutable.Map[Int, Int]()
        var ans: Array[Int] = Array()
        for (i <- nums.indices if ans.isEmpty) {
            val x = nums(i)
            val y = target - x
            if (d.contains(y)) {
                ans = Array(d(y), i)
            } else {
                d(x) = i
            }
        }
        ans
    }
}

Swift

class Solution {
    func twoSum(_ nums: [Int], _ target: Int) -> [Int] {
        var d = [Int: Int]()
        for (i, x) in nums.enumerated() {
            let y = target - x
            if let j = d[y] {
                return [j, i]
            }
            d[x] = i
        }
        return []
    }
}

Ruby

# @param {Integer[]} nums
# @param {Integer} target
# @return {Integer[]}
def two_sum(nums, target)
    d = {}
    nums.each_with_index do |x, i|
      y = target - x
      if d.key?(y)
        return [d[y], i]
      end
      d[x] = i
    end
end

Kotlin

class Solution {
    fun twoSum(nums: IntArray, target: Int): IntArray {
        val m = mutableMapOf<Int, Int>()
        nums.forEachIndexed { i, x ->
            val y = target - x
            val j = m.get(y)
            if (j != null) {
                return intArrayOf(j, i)
            }
            m[x] = i
        }
        return intArrayOf()
    }
}

Nim

import std/enumerate
import std/tables

proc twoSum(nums: seq[int], target: int): seq[int] =
  var d = initTable[int, int]()
  for i, x in nums.pairs():
    let y = target - x
    if d.hasKey(y):
      return @[d[y], i]
    d[x] = i
  return @[]

Cangjie

class Solution {
    func twoSum(nums: Array<Int64>, target: Int64): Array<Int64> {
        let d = HashMap<Int64, Int64>()
        for (i in 0..nums.size) {
            if (d.contains(target - nums[i])) {
                return [d[target - nums[i]], i]
            }
            d[nums[i]] = i
        }
        []
    }
}