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Given an array arr of distinct integers, rearrange the array such that the first element is the largest, the second element is the smallest, the third element is the second largest, and so on.
💡 Enhancement / Feature Request (if applicable)
Enhancing data visualization techniques by providing a clear pattern in datasets.
Improving sorting algorithms by focusing on specific element placement.
How It Should Work
Sort the Array: Sort the array to easily access the smallest and largest elements.
Initialize Pointers: Use two pointers, one starting at the beginning and one at the end of the sorted array.
Alternate Elements: Append elements alternately from the end and the start of the array to achieve the desired order.
Handle Odd Number of Elements: If the array has an odd number of elements, append the middle element last.
🌐 Additional Context
Complexity: A straightforward approach to this problem involves sorting the array and then rearranging the elements, resulting in a time complexity of O(nlogn).Edge Cases: Ensure the solution handles arrays with fewer than two elements appropriately.
The text was updated successfully, but these errors were encountered:
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📝 Description
Given an array arr of distinct integers, rearrange the array such that the first element is the largest, the second element is the smallest, the third element is the second largest, and so on.
💡 Enhancement / Feature Request (if applicable)
Enhancing data visualization techniques by providing a clear pattern in datasets.
Improving sorting algorithms by focusing on specific element placement.
Solving competitive programming challenges efficiently.
How It Should Work
Sort the Array: Sort the array to easily access the smallest and largest elements.
Initialize Pointers: Use two pointers, one starting at the beginning and one at the end of the sorted array.
Alternate Elements: Append elements alternately from the end and the start of the array to achieve the desired order.
Handle Odd Number of Elements: If the array has an odd number of elements, append the middle element last.
🌐 Additional Context
Complexity: A straightforward approach to this problem involves sorting the array and then rearranging the elements, resulting in a time complexity of O(nlogn).Edge Cases: Ensure the solution handles arrays with fewer than two elements appropriately.
The text was updated successfully, but these errors were encountered: