
Problem Statement
You are provided with an array of integers named nums
, where exactly half of the numbers are even, and the remaining half are odd. You need to reorganize this array in such a way that the odd indexed positions of the array contain odd numbers, and the even indexed positions contain even numbers. The primary challenge is to achieve this rearrangement and return any possible configuration of the array that meets this criterion.
Examples
Example 1
Input:
nums = [4,2,5,7]
Output:
[4,5,2,7]
Explanation:
[4,7,2,5], [2,5,4,7], [2,7,4,5] would also have been accepted.
Example 2
Input:
nums = [2,3]
Output:
[2,3]
Constraints
2 <= nums.length <= 2 * 104
nums.length
is even.- Half of the integers in
nums
are even. 0 <= nums[i] <= 1000
Approach and Intuition
The task is to arrange the numbers such that the parity of indices matches the parity of the numbers placed at those indices. The steps to achieve this are outlined below:
Identifying Even and Odd Numbers:
- Traverse through the array and classify each number as even or odd.
- Separate these into two different lists or arrays, one for even numbers and another for odd numbers.
Construct the Result Array:
- Iterate through these two lists, placing even numbers at even indices and odd numbers at odd indices.
- This can be efficiently managed by using two pointers, one pointing to the current fill position for even indices and the other for odd indices.
Efficient Checking and Placement:
- As you progress through the original list, a check can be performed to decide whether the current number is even/odd and placed directly into the result list according to the index.
- Adjustment of pointers ensures that each number goes into an appropriate index, either incrementing the even pointer or the odd pointer after placing each number.
Return the Result:
- Since the resulting array must only follow the rule of even/odd pattern having been observed as detailed in the problem, any satisfactory arrangement can be considered a valid answer.
- As shown in the examples, multiple correct answers are possible, and any accurate configuration can be returned.
Given the constraint that exactly half of the numbers are even, this approach will be both effective and efficient in achieving the desired outcome. The specific example illustrations testify to the potential variations in the arrangement that all achieve the appropriately distributed pattern. This method ensures that all possibilities comply with the input constraints.
Solutions
- Java
class Solution {
public int[] rearrangeEvenOdd(int[] array) {
int oddIndex = 1;
for (int evenIndex = 0; evenIndex < array.length; evenIndex += 2)
if (array[evenIndex] % 2 != 0) {
while (array[oddIndex] % 2 != 0)
oddIndex += 2;
// Perform the swap operation
int swapTemp = array[evenIndex];
array[evenIndex] = array[oddIndex];
array[oddIndex] = swapTemp;
}
return array;
}
}
The provided Java solution aims to solve the problem of rearranging an array so that even and odd indexed positions contain even and odd numbers, respectively. Here's how the implementation works:
- An integer
oddIndex
is initialized to 1 which is used to find the first odd-numbered position needing a swap. - The for loop iterates through the array with evenIndex increasing by 2 each time, ensuring it only checks the even-numbered positions.
- Within the loop, if the element at
evenIndex
is odd (i.e.,array[evenIndex] % 2 != 0
), the inner while loop searches for an odd-numbered element at an odd index position by checkingarray[oddIndex] % 2 != 0
. - If an odd element is found at
oddIndex
, a swapping operation occurs:swapTemp
temporarily holds the value atevenIndex
.- The values of
evenIndex
andoddIndex
are then swapped.
- Once all even positions are filled with even numbers and odd positions with odd numbers, the method returns the modified array.
This approach efficiently ensures the correct parity placement without moving already correctly placed elements.
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