
Problem Statement
In this problem, you are provided with an array nums
containing n
integers. Each integer in the array is guaranteed to be within the range from 1
to n
, where n
is the length of the array. The task is to identify and return all the integers within this range [1, n]
that are not present in the array nums
. These missing numbers need to be collected and returned in an array format.
Examples
Example 1
Input:
nums = [4,3,2,7,8,2,3,1]
Output:
[5,6]
Example 2
Input:
nums = [1,1]
Output:
[2]
Constraints
n == nums.length
1 <= n <= 105
1 <= nums[i] <= n
Approach and Intuition
The goal is to find the numbers missing from the consecutive range [1, n]
in the given array nums
. Here's a breakdown of the methodology:
Use of Data Structure:
- A simple Boolean array could be utilized to track which numbers are present in the array. The index can represent each number from
1
ton
, and the truth value at each index can reflect the presence or absence of that number innums
.
- A simple Boolean array could be utilized to track which numbers are present in the array. The index can represent each number from
Scan Through
nums
:- Iterate through each number in the
nums
array. For each number, mark its corresponding position (number as index) in the Boolean array asTrue
or any other marker indicating its presence.
- Iterate through each number in the
Identify Missing Numbers:
- After marking the presence of numbers from
nums
, iterate through the Boolean array from1
ton
. Collect indices where the value is stillFalse
(or unmarked). These indices represent the numbers that are missing fromnums
.
- After marking the presence of numbers from
Edge Cases:
- If
nums
includes every number from1
ton
, the resulting list of missing numbers would be empty. - For smaller arrays or arrays with repeated numbers (e.g.,
[1,1]
), this method effectively captures the missing numbers without needing multiple passes or additional space for counting.
- If
This approach is space-efficient because it leverages information about the problem constraints such as the specific range of numbers and their count's relationship to the array's length (i.e., n
equals the length of nums
). This positions the solution to operate efficiently even as n
reaches larger values up to the upper constraint limit.
Solutions
- Java
class Solution {
public List<Integer> getMissingNumbers(int[] arr) {
for (int index = 0; index < arr.length; index++) {
int targetIndex = Math.abs(arr[index]) - 1;
if (arr[targetIndex] > 0) {
arr[targetIndex] = -arr[targetIndex];
}
}
List<Integer> missingNumbers = new ArrayList<Integer>();
for (int k = 1; k <= arr.length; k++) {
if (arr[k - 1] > 0) {
missingNumbers.add(k);
}
}
return missingNumbers;
}
}
This solution in Java identifies all numbers missing in a given array ranging from 1 to N, where N is the array's length. The approach efficiently uses the concept of marking visited indices rather than using additional space for counting or hash mapping.
- Initialize the process by iterating through each number in the array. For each number, compute its target index based on its value.
- Verify if the element at the target index is positive. If it is, negate the number at this index as a mark that the number corresponding to this index has appeared in the array.
- After marking the array, commence another loop ranging from 1 to N to determine which indices were not marked. The indices that retain a positive value imply their corresponding values were missing in the original array.
- Collect and return these missing numbers.
The function implements two major loops, both running in linear time, i.e., O(N), thus ensuring efficiency with a space complexity of O(1), excluding the space required for the output list. This makes it an in-place algorithm, leveraging the input array itself for tracking purposes. Ensure to handle numbers and index calculations accurately to avoid out-of-bound errors.
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