freeCodeCamp/guide/chinese/miscellaneous/freecodecamp-algorithm-bina.../index.md

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---
title: Freecodecamp Algorithm Binary Search Guide
localeTitle: Freecodecamp算法二进制搜索指南
---
二进制搜索是一种搜索算法,用于查找已排序数组中目标值的位置。
## 例
![二进制搜索](//discourse-user-assets.s3.amazonaws.com/original/2X/3/3cb9e4cc59081e1b0a19b716dbcfb6df97ac2b52.png)
上图显示了当目标值为**4**时二进制搜索算法在排序数组上的工作情况。
## 算法
二进制搜索适用于已排序的数组。二进制搜索首先将数组的中间元素与目标值进行比较。如果目标值与中间元素匹配,则返回其在数组中的位置。如果目标值小于或大于中间元素,则搜索分别使用新的中间元素继续数组的下半部分或上半部分,从而消除另一半。
二进制搜索算法的伪代码如下:
```
BinarySearch(A<a href='https://repl.it/CWZq/158' target='_blank' rel='nofollow'>0..N-1], value) {
low = 0
high = N - 1
while (low <= high) {
// invariants: value > A[i] for all i < low
value < A[i] for all i > high
mid = (low + high) / 2
if (A[mid] > value)
high = mid - 1
else if (A[mid] < value)
low = mid + 1
else
return mid
}
return not_found // value would be inserted at index "low"
}
```
## 复杂
* 最差案例表现: **Olog n**
* 最佳案例表现: **O1**
* 平均案例表现: **Olog n**
* 最坏的案例空间复杂度: **O1**用于迭代; **Olog n**用于递归。
## C ++实现
```
int binarySearch(int arr[], int value, int left, int right) {
int middle;
while (left <= right) {
middle = (left + right) / 2;
if (arr[middle] == value)
return middle;
else if (arr[middle] > value)
right = middle - 1;
else
left = middle + 1;
}
return -1;
}
```
rocket\[运行代码## Python实现
```
def binary_search(l, value):
low = 0
high = len(l)-1
while low <= high:
mid = (low+high)//2
if l<a href='https://forum.freecodecamp.com/images/emoji/emoji_one/rocket.png?v=3 ":rocket:"' target='_blank' rel='nofollow'>mid] > value: high = mid-1
elif l[mid] < value: low = mid+1
else: return mid
return -1
```
![:rocket:](https://forum.freecodecamp.com/images/emoji/emoji_one/rocket.png?v=3 ":火箭:") [运行代码](https://repl.it/CWZi/2)