-
Notifications
You must be signed in to change notification settings - Fork 0
/
binarySearch.js
64 lines (46 loc) · 1.41 KB
/
binarySearch.js
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
// LeetCode #704. Binary Search
/*
Given an array of integers nums which is sorted in ascending order, and an integer target, write a function to search target in nums. If target exists, then return its index. Otherwise, return -1.
You must write an algorithm with O(log n) runtime complexity.
Example 1:
Input: nums = [-1,0,3,5,9,12], target = 9
Output: 4
Explanation: 9 exists in nums and its index is 4
Example 2:
Input: nums = [-1,0,3,5,9,12], target = 2
Output: -1
Explanation: 2 does not exist in nums so return -1
Constraints:
1 <= nums.length <= 104
-104 < nums[i], target < 104
All the integers in nums are unique.
nums is sorted in ascending order.
*/
// Solution
function binarySearch(nums, target) {
let left = 0
let right = nums.length - 1
while (left < right) {
let mid = left + Math.floor((right-left + 1) / 2)
if (target < nums[mid]) {
right = mid - 1
} else {
left = mid
}
}
return nums[left] === target ? left : -1
}
// Refactored
// const binarySearch = (nums, target) => {
// let left = 0
// let right = nums.length - 1
// while (left < right) {
// let mid = left + Math.floor((right - left + 1) / 2)
// if (target < nums[mid]) {
// right = mid - 1
// } else {
// left = mid
// }
// }
// return nums[left] === target ? left : -1
// }