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98 lines
2.1 KiB
Plaintext
98 lines
2.1 KiB
Plaintext
---
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title: '33. Search in Rotated Sorted Array'
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description: There is an integer array nums sorted in ascending order (with distinct values)
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icon: dot
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topics:
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- { name: "Array", slug: "array" }
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- { name: "Binary Search", slug: "binary-search" }
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video: "U8XENwh8Oy8"
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sidebar:
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label: 'Search in Rotated Sorted Array'
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badge: 'Medium'
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---
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::::warning
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You must write an algorithm with O(log n) runtime complexity.
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::::
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### Example 1:
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- Input: `nums = [4,5,6,7,0,1,2], target = 0`
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- Output: `4`
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### Example 2:
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- Input: `nums = [4,5,6,7,0,1,2], target = 3`
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- Output: `-1`
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### Example 3:
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- Input: `nums = [1], target = 0`
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- Output: `-1`
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### Constraints:
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- `1 <= nums.length <= 5000`
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- `-10^4 <= nums[i] <= 10^4`
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- All values of `nums` are unique.
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- `nums` is an ascending array that is possibly rotated.
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- `-10^4 <= target <= 10^4`
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## Approach
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```mermaid
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flowchart TD
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S(["search(nums, target)"]) --> I["l = 0, r = n - 1"]
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I --> W{"l <= r?"}
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W -- no --> E(["return -1"])
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W -- yes --> M["mid = floor((l + r) / 2)"]
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M --> F{"nums[mid] == target?"}
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F -- yes --> R(["return mid"])
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F -- no --> H{"nums[l] <= nums[mid]? — left half sorted"}
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H -- yes --> A{"target outside [nums[l], nums[mid]]?"}
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A -- yes --> A1["l = mid + 1 — search the right half"]
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A -- no --> A2["r = mid - 1"]
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H -- no --> B{"target outside [nums[mid], nums[r]]?"}
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B -- yes --> B1["r = mid - 1 — search the left half"]
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B -- no --> B2["l = mid + 1"]
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A1 --> W
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A2 --> W
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B1 --> W
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B2 --> W
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```
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## Solution
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```js
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/**
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* @param {number[]} nums
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* @param {number} target
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* @return {number}
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*/
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var search = function(nums, target) {
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let l = 0, r = nums.length - 1;
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while (l <= r){
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let mid = Math.floor((l + r)/2);
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if (target === nums[mid]) {
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return mid
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}
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// Left sorted portion
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if (nums[l] <= nums[mid]){
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if (target > nums[mid] || target < nums[l]){
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l = mid + 1;
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}else{
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r = mid - 1;
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}
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}
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// Right sorted portion
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else{
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if(target < nums[mid] || target > nums[r]){
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r = mid - 1;
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}else{
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l = mid + 1;
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}
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}
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}
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return -1;
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};
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```
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