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Solving the Search in Rotated Sorted Array Problem

Dec 23, 2023 · A step-by-step guide to understanding and solving the Search in Rotated Sorted Array problem, a complex variation of binary search.

As someone who enjoys tackling complex algorithmic challenges, I often encounter problems that require a deep understanding of search algorithms and data manipulation. One such problem is the "Search in Rotated Sorted Array," a frequent question in coding interviews. This post will guide you through understanding this problem and provide an efficient solution using JavaScript.

Understanding the Problem

The "Search in Rotated Sorted Array" problem involves finding the index of a target number in a sorted array that has been rotated. It's a twist on the binary search algorithm, where the array is no longer strictly sorted in the conventional sense, but is instead rotated at an unknown pivot point.

The Challenge

Given an array nums that has been rotated and a target value, the task is to find the index of this target in nums, or return -1 if it does not exist.

The Solution

Here's a JavaScript function to effectively solve this problem:

function search(nums, target) {
  let left = 0,
    right = nums.length - 1;

  while (left <= right) {
    const mid = Math.floor((left + right) / 2);

    if (nums[mid] === target) return mid;

    // Check if the left half is sorted
    if (nums[left] <= nums[mid]) {
      if (target >= nums[left] && target < nums[mid]) {
        right = mid - 1;
      } else {
        left = mid + 1;
      }
    }
    // Right half is sorted
    else {
      if (target > nums[mid] && target <= nums[right]) {
        left = mid + 1;
      } else {
        right = mid - 1;
      }
    }
  }

  return -1;
}

How It Works

  • Check Middle Element: At each step, check if the middle element is the target.
  • Identify Sorted Half: Determine which half of the array is sorted.
  • Refine Search: Based on the target’s value and the sorted half, adjust the search range.
  • Iterate Until Found: Continue the process until the target is found or the range is empty.

Conclusion

This problem serves as an excellent example of how binary search can be adapted to less straightforward scenarios. It tests your ability to think critically about sorted arrays and how to navigate them when a typical sorted order is disrupted.

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