二分查找
题目描述
给定一个 n 个元素有序的(升序)整型数组 nums 和一个目标值 target ,写一个函数搜索 nums 中的 target,如果目标值存在返回下标,否则返回 -1。
示例 1:
输入: nums = [-1,0,3,5,9,12], target = 9 输出: 4 解释: 9 出现在 nums 中并且下标为 4 示例 2:
输入: nums = [-1,0,3,5,9,12], target = 2 输出: -1 解释: 2 不存在 nums 中因此返回 -1
提示:
你可以假设 nums 中的所有元素是不重复的。 n 将在 [1, 10000]之间。 nums 的每个元素都将在 [-9999, 9999]之间。
解题思路
前提
- 数组为有序数组
- 数组中无重复元素
难点
- 二分法的区间定义
- 核心思想 循环不变量
循环不变量是在算法的循环过程中,保持不变的性质或条件。在二分查找中,循环不变量指的是:在每次循环中,我们都能确保目标值要么不存在,要么一定在当前搜索区间内。
理解循环不变量有助于:
- 正确定义搜索区间(左闭右闭或左闭右开)
- 精确控制边界条件
- 避免出现死循环或边界错误
步骤拆解
- 确定数组的边界
- 确定循环不变量
- 确定循环条件
- 确定中间位置
二分法区间定义
-
左闭右闭区间
- 循环条件
while (left <= right) - 中间位置
int mid = left + ((right - left) / 2); - 右边界更新
right = mid - 1; - 左边界更新
left = mid + 1;
- 循环条件
-
左闭右开区间
- 循环条件
while (left < right) - 中间位置
int mid = left + ((right - left) >> 1); - 右边界更新
right = mid; - 左边界更新
left = mid + 1;
- 循环条件
代码实现
C++
- 左闭右闭区间
int search(vector<int>& nums, int target) {
int left = 0;
int right = nums.size()-1;
while(left<=right){
int middle = left+((right-left))/2;
if(nums[middle]<target){
left = middle+1;
}else if(nums[middle]>target){
right = middle-1;
}else{
return middle;
}
}
return -1;
}
- 左闭右开区间
int search(vector<int>& nums, int target) {
int left = 0;
int right = nums.size();
while(left<right){
int middle = left+((right-left))/2;
if(nums[middle]<target){
left = middle+1;
}else if(nums[middle]>target){
right = middle;
}else{
return middle;
}
}
return -1;
}
Go
- 左闭右闭区间
func search(nums []int, target int) int {
left, right := 0, len(nums) - 1
for (left <= right) {
mid := left + (right - left) >> 1
if (nums[mid] > target) {
right = mid - 1
} else if (nums[mid] < target) {
left = mid + 1
} else {
return mid
}
}
return -1;
}
- 左闭右开区间
func search(nums []int, target int) int {
left, right := 0, len(nums)
for (left < right) {
mid := left + (right - left) >> 1
if (nums[mid] > target) {
right = mid
} else if (nums[mid] < target) {
left = mid + 1
} else {
return mid
}
}
return -1;
}
Java
-左闭右闭区间
class Solution {
public int search(int[] nums, int target) {
if (target < nums[0] || target > nums[nums.length - 1]) {
return -1;
}
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = left + ((right - left) >> 1);
if (nums[mid] == target) {
return mid;
}
else if (nums[mid] < target) {
left = mid + 1;
}
else { // nums[mid] > target
right = mid - 1;
}
}
return -1;
}
}
-左闭右开区间
class Solution {
public int search(int[] nums, int target) {
int left = 0, right = nums.length;
while (left < right) {
int mid = left + ((right - left) >> 1);
if (nums[mid] == target) {
return mid;
}
else if (nums[mid] < target) {
left = mid + 1;
}
else { // nums[mid] > target
right = mid;
}
}
return -1;
}
}
TypeScript
-左闭右闭区间
function search(nums: number[], target: number): number {
let mid: number, left: number = 0, right: number = nums.length - 1;
while (left <= right) {
mid = left + ((right - left) >> 1);
if (nums[mid] > target) {
right = mid - 1;
} else if (nums[mid] < target) {
left = mid + 1;
} else {
return mid;
}
}
return -1;
};
-左闭右开区间
function search(nums: number[], target: number): number {
let mid: number, left: number = 0, right: number = nums.length;
while (left < right) {
mid = left +((right - left) >> 1);
if (nums[mid] > target) {
right = mid;
} else if (nums[mid] < target) {
left = mid + 1;
} else {
return mid;
}
}
return -1;
};
JavaScript
-左闭右闭区间 [left, right]
/**
* @param {number[]} nums
* @param {number} target
* @return {number}
*/
var search = function(nums, target) {
let mid, left = 0, right = nums.length - 1;
while (left <= right) {
mid = left + ((right - left) >> 1);
if (nums[mid] > target) {
right = mid - 1;
} else if (nums[mid] < target) {
left = mid + 1;
} else {
return mid;
}
}
return -1;
};
-左闭右开区间 [left, right)
/**
* @param {number[]} nums
* @param {number} target
* @return {number}
*/
var search = function(nums, target) {
let mid, left = 0, right = nums.length;
while (left < right) {
mid = left + ((right - left) >> 1);
if (nums[mid] > target) {
right = mid;
} else if (nums[mid] < target) {
left = mid + 1;
} else {
return mid;
}
}
return -1;
};