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RotatedSortedArray.js
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55 lines (42 loc) · 1.7 KB
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// 33. Search in Rotated Sorted Array
// There is an integer array nums sorted in ascending order (with distinct values).
// Prior to being passed to your function, nums is possibly rotated at an unknown pivot index k (1 <= k < nums.length) such that the resulting array is [nums[k], nums[k+1], ..., nums[n-1], nums[0], nums[1], ..., nums[k-1]] (0-indexed). For example, [0,1,2,4,5,6,7] might be rotated at pivot index 3 and become [4,5,6,7,0,1,2].
// Given the array nums after the possible rotation and an integer target, return the index of target if it is in nums, or -1 if it is not in nums.
// You must write an algorithm with O(log n) runtime complexity.
// Example 1:
// Input: nums = [4,5,6,7,0,1,2], target = 0
// Output: 4
// Example 2:
// Input: nums = [4,5,6,7,0,1,2], target = 3
// Output: -1
// Example 3:
// Input: nums = [1], target = 0
// Output: -1
function search(nums, target){
let left = 0
let right = nums.length-1
while(left <= right){
let middleIndex = Math.floor((left + right)/2)
if(target === nums[middleIndex]){
return middleIndex
}
// check to see we are in the left array.
if(nums[left] <= nums[middleIndex]){
if(target > nums[middleIndex] || nums[left] > target){
left = middleIndex+1
}else{
right = middleIndex-1
}
}else{
if(target < nums[middleIndex] || nums[right] < target){
right = middleIndex-1
}else{
left = middleIndex+1
}
}
}
return -1
}
console.log(search([4,5,6,7,0,1,2], 0))//4
console.log(search([4,5,6,7,0,1,2], 3))//-1
console.log(search([1], 0))//-1