我已经在C＃中实现了一个非常简单的binarySearch实现，用于在整数数组中查找整数：

二元搜寻

static int binarySearch(int[] arr, int i)
{
    int low = 0, high = arr.Length - 1, mid;

    while (low <= high)
    {
        mid = (low + high) / 2;

        if (i < arr[mid])
            high = mid - 1;

        else if (i > arr[mid])
            low = mid + 1;

        else
            return mid;
    }
    return -1;
}

当比较它与C＃的母语Array.BinarySearch()，我可以看到Array.BinarySearch()是两倍以上的速度作为我的功能，每一次。

Array.BinarySearch上的MSDN ：

使用Array的每个元素和指定对象实现的IComparable通用接口，在整个一维排序数组中搜索特定元素。

是什么使这种方法如此之快？

测试码

using System;
using System.Diagnostics;

class Program
{
    static void Main()
    {
        Random rnd = new Random();
        Stopwatch sw = new Stopwatch();

        const int ELEMENTS = 10000000;
        int temp;

        int[] arr = new int[ELEMENTS];

        for (int i = 0; i < ELEMENTS; i++)
            arr[i] = rnd.Next(int.MinValue,int.MaxValue);

        Array.Sort(arr);

        // Custom binarySearch

        sw.Restart();
        for (int i = 0; i < ELEMENTS; i++)
            temp = binarySearch(arr, i);
        sw.Stop();

        Console.WriteLine($"Elapsed time for custom binarySearch: {sw.ElapsedMilliseconds}ms");

        // C# Array.BinarySearch

        sw.Restart();
        for (int i = 0; i < ELEMENTS; i++)
            temp = Array.BinarySearch(arr,i);
        sw.Stop();

        Console.WriteLine($"Elapsed time for C# BinarySearch: {sw.ElapsedMilliseconds}ms");
    }

    static int binarySearch(int[] arr, int i)
    {
        int low = 0, high = arr.Length - 1, mid;

        while (low <= high)
        {
            mid = (low+high) / 2;

            if (i < arr[mid])
                high = mid - 1;

            else if (i > arr[mid])
                low = mid + 1;

            else
                return mid;
        }
        return -1;
    }
}

试验结果

+------------+--------------+--------------------+
| Attempt No | binarySearch | Array.BinarySearch |
+------------+--------------+--------------------+
|          1 | 2700ms       | 1099ms             |
|          2 | 2696ms       | 1083ms             |
|          3 | 2675ms       | 1077ms             |
|          4 | 2690ms       | 1093ms             |
|          5 | 2700ms       | 1086ms             |
+------------+--------------+--------------------+