Wiggle Sort Ii
To solve this coding challenge, we need to reorder a given integer array such that the "wiggle" property is satisfied. This property specifies that the elements at even indices should be smaller than their adjacent neighbors, and elements at odd indices should be greater than their neighbors. More precisely, for an array
:
nums
-
nums[0] < nums[1] > nums[2] < nums[3] > ...
Step-by-Step Explanation
- Sort the Array : Start by sorting the input array. Sorting helps us to easily pick smaller and larger elements to construct the wiggle pattern.
- Split the Array : Divide the sorted array into two parts - a left part (which contains the smaller half of the elements) and a right part (which contains the larger half).
- Reverse Both Halves : Reverse both halves to ensure we place the largest available value at the required position for the wiggle property.
- Interleave the Halves : Interleave elements from both parts in such a way that numbers from the larger half place at odd indices and from the smaller half at even indices. The methodology is designed to ensure that we maintain the
- Sort the Input Array :
- Begin by sorting the array to have elements in ascending order. This helps in easily sectioning the smallest and largest halves.
- Sorting can be done using any efficient sorting algorithm, typically with complexity O(n log n).
- Calculate the Midpoint :
-
Determine the midpoint of the array:
mid = (Length of nums + 1) // 2
- Split and Reverse Both Halves :
-
Split the sorted array into two halves:
left_half
right_half
- Reverse both halves to place the largest available value correctly while interleaving.
- Interleave the Halves :
-
Use two pointers (
left_index
right_index
left_half
right_half
-
For each index in the final output array, place elements in such a manner that elements from
left_half
right_half
nums[0] < nums[1] > nums[2]
Pseudocode with Comments
Phase 1: Sort the Input Array
# Sort the input array to prepare for splitting
Sort(nums_array)
Phase 2: Split the Array
# Calculate the midpoint to split the array into two halves
mid_point = (Length(nums_array) + 1) // 2
# The left part (small half) is from the start to the middle, reversed
left_half = Reverse(nums_array[0 to mid_point])
# The right part (large half) is from the middle to the end, reversed
right_half = Reverse(nums_array[mid_point to end])
Phase 3: Interleave the Halves
# Initialize index pointers for interleaving
left_index = 0
right_index = 0
# Initialize an array for the result
result_array = []
# Iterate through the indexes combining both arrays
For each index i in range of Length(nums_array):
If i is even: # Elements at even indexes come from the left half
result_array.append(left_half[left_index])
left_index += 1
Else: # Elements at odd indexes come from the right half
result_array.append(right_half[right_index])
right_index += 1