我们可以使用二进制搜索来减少普通插入排序中的比较次数。二进制插入排序使用二进制搜索来找到正确的位置,以便在每次迭代时插入所选项目。
在普通插入排序中,在最坏的情况下需要进行O(n)个比较(第n次迭代)。我们可以使用二进制搜索将其简化为O(log n)。
C++
// C program for implementation of
// binary insertion sort
#include
// A binary search based function
// to find the position
// where item should be inserted
// in a[low..high]
int binarySearch(int a[], int item,
int low, int high)
{
if (high <= low)
return (item > a[low]) ?
(low + 1) : low;
int mid = (low + high) / 2;
if (item == a[mid])
return mid + 1;
if (item > a[mid])
return binarySearch(a, item,
mid + 1, high);
return binarySearch(a, item, low,
mid - 1);
}
// Function to sort an array a[] of size 'n'
void insertionSort(int a[], int n)
{
int i, loc, j, k, selected;
for (i = 1; i < n; ++i)
{
j = i - 1;
selected = a[i];
// find location where selected sould be inseretd
loc = binarySearch(a, selected, 0, j);
// Move all elements after location to create space
while (j >= loc)
{
a[j + 1] = a[j];
j--;
}
a[j + 1] = selected;
}
}
// Driver Code
int main()
{
int a[]
= { 37, 23, 0, 17, 12, 72, 31, 46, 100, 88, 54 };
int n = sizeof(a) / sizeof(a[0]), i;
insertionSort(a, n);
printf("Sorted array: \n");
for (i = 0; i < n; i++)
printf("%d ", a[i]);
return 0;
}
Java
// Java Program implementing
// binary insertion sort
import java.util.Arrays;
class GFG
{
public static void main(String[] args)
{
final int[] arr = { 37, 23, 0, 17, 12, 72,
31, 46, 100, 88, 54 };
new GFG().sort(arr);
for (int i = 0; i < arr.length; i++)
System.out.print(arr[i] + " ");
}
// Driver Code
public void sort(int array[])
{
for (int i = 1; i < array.length; i++)
{
int x = array[i];
// Find location to insert
// using binary search
int j = Math.abs(
Arrays.binarySearch(array, 0,
i, x) + 1);
// Shifting array to one
// location right
System.arraycopy(array, j,
array, j + 1, i - j);
// Placing element at its
// correct location
array[j] = x;
}
}
}
// Code contributed by Mohit Gupta_OMG
Python
# Python Program implementation
# of binary insertion sort
def binary_search(arr, val, start, end):
# we need to distinugish whether we
# should insert before or after the
# left boundary. imagine [0] is the last
# step of the binary search and we need
# to decide where to insert -1
if start == end:
if arr[start] > val:
return start
else:
return start+1
# this occurs if we are moving
# beyond left's boundary meaning
# the left boundary is the least
# position to find a number greater than val
if start > end:
return start
mid = (start+end)//2
if arr[mid] < val:
return binary_search(arr, val, mid+1, end)
elif arr[mid] > val:
return binary_search(arr, val, start, mid-1)
else:
return mid
def insertion_sort(arr):
for i in range(1, len(arr)):
val = arr[i]
j = binary_search(arr, val, 0, i-1)
arr = arr[:j] + [val] + arr[j:i] + arr[i+1:]
return arr
print("Sorted array:")
print(insertion_sort([37, 23, 0, 31, 22, 17, 12, 72, 31, 46, 100, 88, 54]))
# Code contributed by Mohit Gupta_OMG
C#
// C# Program implementing
// binary insertion sort
using System;
class GFG {
public static void Main()
{
int[] arr = { 37, 23, 0, 17, 12, 72,
31, 46, 100, 88, 54 };
sort(arr);
for (int i = 0; i < arr.Length; i++)
Console.Write(arr[i] + " ");
}
// Driver Code
public static void sort(int[] array)
{
for (int i = 1; i < array.Length; i++)
{
int x = array[i];
// Find location to insert using
// binary search
int j = Math.Abs(
Array.BinarySearch(array,
0, i, x) + 1);
// Shifting array to one location right
System.Array.Copy(array, j,
array, j + 1,
i - j);
// Placing element at its correct
// location
array[j] = x;
}
}
}
// This code is contributed by nitin mittal.
PHP
$a[$low]) ?
($low + 1) : $low;
$mid = (int)(($low + $high) / 2);
if($item == $a[$mid])
return $mid + 1;
if($item > $a[$mid])
return binarySearch($a, $item,
$mid + 1, $high);
return binarySearch($a, $item, $low,
$mid - 1);
}
// Function to sort an array a of size 'n'
function insertionSort(&$a, $n)
{
$i; $loc; $j; $k; $selected;
for ($i = 1; $i < $n; ++$i)
{
$j = $i - 1;
$selected = $a[$i];
// find location where selected
// item should be inserted
$loc = binarySearch($a, $selected, 0, $j);
// Move all elements after location
// to create space
while ($j >= $loc)
{
$a[$j + 1] = $a[$j];
$j--;
}
$a[$j + 1] = $selected;
}
}
// Driver Code
$a = array(37, 23, 0, 17, 12, 72,
31, 46, 100, 88, 54);
$n = sizeof($a);
insertionSort($a, $n);
echo "Sorted array:\n";
for ($i = 0; $i < $n; $i++)
echo "$a[$i] ";
// This code is contributed by
// Adesh Singh
?>
输出
Sorted array:
0 12 17 23 31 37 46 54 72 88 100
时间复杂度:由于每次插入都需要进行一系列交换,因此整个算法在最坏情况下的运行时间仍为O(n 2 )。