Given two integer arrays arr1[] and arr2[] sorted in ascending order and an integer k. Find k pairs with smallest sums such that one element of a pair belongs to arr1[] and other element belongs to arr2[]
Examples:
Input : arr1[] = {1, 7, 11}
arr2[] = {2, 4, 6}
k = 3
Output : [1, 2],
[1, 4],
[1, 6]
Explanation: The first 3 pairs are returned
from the sequence [1, 2], [1, 4], [1, 6],
[7, 2], [7, 4], [11, 2], [7, 6], [11, 4],
[11, 6]
Method 1 (Simple)
- Find all pairs and store their sums. Time complexity of this step is O(n1 * n2) where n1 and n2 are sizes of input arrays.
- Then sort pairs according to sum. Time complexity of this step is O(n1 * n2 * log (n1 * n2))
Overall Time Complexity : O(n1 * n2 * log (n1 * n2))
Method 2 (Efficient):
We one by one find k smallest sum pairs, starting from least sum pair. The idea is to keep track of all elements of arr2[] which have been already considered for every element arr1[i1] so that in an iteration we only consider next element. For this purpose, we use an index array index2[] to track the indexes of next elements in the other array. It simply means that which element of second array to be added with the element of first array in each and every iteration. We increment value in index array for the element that forms next minimum value pair.
Java
import java.io.*;
class KSmallestPair
{
static void kSmallestPair( int arr1[], int n1, int arr2[],
int n2, int k)
{
if (k > n1*n2)
{
System.out.print( "k pairs don't exist" );
return ;
}
int index2[] = new int [n1];
while (k > 0 )
{
int min_sum = Integer.MAX_VALUE;
int min_index = 0 ;
for ( int i1 = 0 ; i1 < n1; i1++)
{
if (index2[i1] < n2 &&
arr1[i1] + arr2[index2[i1]] < min_sum)
{
min_index = i1;
min_sum = arr1[i1] + arr2[index2[i1]];
}
}
System.out.print( "(" + arr1[min_index] + ", " +
arr2[index2[min_index]]+ ") " );
index2[min_index]++;
k--;
}
}
public static void main (String[] args)
{
int arr1[] = { 1 , 3 , 11 };
int n1 = arr1.length;
int arr2[] = { 2 , 4 , 8 };
int n2 = arr2.length;
int k = 4 ;
kSmallestPair( arr1, n1, arr2, n2, k);
}
}
|
Output(1, 2) (1, 4) (3, 2) (3, 4)
Time Complexity : O(k*n1), where n1 is the size of the given array and k is the given integer.
Auxiliary Space: O(n1), where n1 is the size of the given array.
Please refer complete article on Find k pairs with smallest sums in two arrays for more details!