There are many numbers in an array and each number appears three times excepting for one special number appearing once. Here is the question: how can I find the special numb
Following is another O(n) time complexity and O(1) extra space method
suggested by aj. We can sum the bits in same positions for all the numbers and take modulo with 3.
The bits for which sum is not multiple of 3, are the bits of number with single occurrence. Let us consider
the example array {5, 5, 5, 8}.
The 101, 101, 101, 1000
Sum of first bits%3 = (1 + 1 + 1 + 0)%3 = 0;
Sum of second bits%3 = (0 + 0 + 0 + 0)%0 = 0;
Sum of third bits%3 = (1 + 1 + 1 + 0)%3 = 0;
Sum of fourth bits%3 = (1)%3 = 1;
Hence number which appears once is 1000
#include <stdio.h>
#define INT_SIZE 32
int getSingle(int arr[], int n)
{
// Initialize result
int result = 0;
int x, sum;
// Iterate through every bit
for (int i = 0; i < INT_SIZE; i++)
{
// Find sum of set bits at ith position in all
// array elements
sum = 0;
x = (1 << i);
for (int j=0; j< n; j++ )
{
if (arr[j] & x)
sum++;
}
// The bits with sum not multiple of 3, are the
// bits of element with single occurrence.
if (sum % 3)
result |= x;
}
return result;
}
// Driver program to test above function
int main()
{
int arr[] = {12, 1, 12, 3, 12, 1, 1, 2, 3, 2, 2, 3, 7};
int n = sizeof(arr) / sizeof(arr[0]);
printf("The element with single occurrence is %d ",getSingle(arr, n));
return 0;
}
Since nobody's saying it, I will: hashtable.
You can calculate how many times each element occurs in the array in O(n)
with simple hashtable (or hashmap).
A possible algorithm (very generic, not tested) :
function findMagicNumber(arr[0...n])
magic_n := NaN
if n = 1 then
magic_n := arr[0]
else if n > 1 then
quicksort(arr)
old_n := arr[0]
repeat := 0
for i := 1 to n
cur_n := arr[i]
repeat := repeat + 1
if cur_n ≠ old_n then
if repeat = 1 then
magic_n := old_n
old_n := cur_n
repeat := 0
return magic_n