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hello-algo/codes/csharp/chapter_computational_compl.../leetcode_two_sum.cs

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1.9 KiB

using NUnit.Framework;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace hello_algo.chapter_computational_complexity
{
class SolutionBruteForce
{
public int[] twoSum(int[] nums, int target)
{
int size = nums.Length;
// 两层循环,时间复杂度 O(n^2)
for (int i = 0; i < size - 1; i++)
{
for (int j = i + 1; j < size; j++)
{
if (nums[i] + nums[j] == target)
return new int[] { i, j };
}
}
return new int[0];
}
}
class SolutionHashMap
{
public int[] twoSum(int[] nums, int target)
{
int size = nums.Length;
// 辅助哈希表,空间复杂度 O(n)
Dictionary<int, int> dic = new();
// 单层循环,时间复杂度 O(n)
for (int i = 0; i < size; i++)
{
if (dic.ContainsKey(target - nums[i]))
{
return new int[] { dic[target - nums[i]], i };
}
dic.Add(nums[i], i);
}
return new int[0];
}
}
public class leetcode_two_sum
{
[Test]
public void Test()
{
// ======= Test Case =======
int[] nums = { 2, 7, 11, 15 };
int target = 9;
// ====== Driver Code ======
// 方法一
SolutionBruteForce slt1 = new SolutionBruteForce();
int[] res = slt1.twoSum(nums, target);
Console.WriteLine("方法一 res = " + string.Join(",", res));
// 方法二
SolutionHashMap slt2 = new SolutionHashMap();
res = slt2.twoSum(nums, target);
Console.WriteLine("方法二 res = " + string.Join(",", res));
}
}
}