Given three linked lists, say a, b and c, find one node from each list such that the sum of the values of the nodes is equal to a given number.
For example, if the three linked lists are 12->6->29, 23->5->8, and 90->20->59, and the given number is 101, the output should be triple “6 5 90”.
In the following solutions, size of all three linked lists is assumed same for simplicity of analysis. The following solutions work for linked lists of different sizes also.
A simple method to solve this problem is to run three nested loops. The outermost loop picks an element from list a, the middle loop picks an element from b and the innermost loop picks from c. The innermost loop also checks whether the sum of values of current nodes of a, b and c is equal to given number. The time complexity of this method will be O(n^3).
Sorting can be used to reduce the time complexity to O(n*n). Following are the detailed steps.
1) Sort list b in ascending order, and list c in descending order.
2) After the b and c are sorted, one by one pick an element from list a and find the pair by traversing both b and c. See isSumSorted() in the following code. The idea is similar to Quadratic algorithm of 3 sum problem.
Following code implements step 2 only. The solution can be easily modified for unsorted lists by adding the merge sort code discussed here.
Java
// Java program to find a triplet from three linked lists with // sum equal to a given number class LinkedList { Node head; // head of list /* Linked list Node*/ class Node { int data; Node next; Node( int d) {data = d; next = null ; } } /* A function to check if there are three elements in a, b and c whose sum is equal to givenNumber. The function assumes that the list b is sorted in ascending order and c is sorted in descending order. */ boolean isSumSorted(LinkedList la, LinkedList lb, LinkedList lc, int givenNumber) { Node a = la.head; // Traverse all nodes of la while (a != null ) { Node b = lb.head; Node c = lc.head; // for every node in la pick 2 nodes from lb and lc while (b != null && c!= null ) { int sum = a.data + b.data + c.data; if (sum == givenNumber) { System.out.println( "Triplet found " + a.data + " " + b.data + " " + c.data); return true ; } // If sum is smaller then look for greater value of b else if (sum < givenNumber) b = b.next; else c = c.next; } a = a.next; } System.out.println( "No Triplet found" ); return false ; } /* Given a reference (pointer to pointer) to the head of a list and an int, push a new node on the front of the list. */ void push( int new_data) { /* 1 & 2: Allocate the Node & Put in the data*/ Node new_node = new Node(new_data); /* 3. Make next of new Node as head */ new_node.next = head; /* 4. Move the head to point to new Node */ head = new_node; } /* Driver program to test above functions */ public static void main(String args[]) { LinkedList llist1 = new LinkedList(); LinkedList llist2 = new LinkedList(); LinkedList llist3 = new LinkedList(); /* Create Linked List llist1 100->15->5->20 */ llist1.push( 20 ); llist1.push( 5 ); llist1.push( 15 ); llist1.push( 100 ); /*create a sorted linked list 'b' 2->4->9->10 */ llist2.push( 10 ); llist2.push( 9 ); llist2.push( 4 ); llist2.push( 2 ); /*create another sorted linked list 'c' 8->4->2->1 */ llist3.push( 1 ); llist3.push( 2 ); llist3.push( 4 ); llist3.push( 8 ); int givenNumber = 25 ; llist1.isSumSorted(llist1,llist2,llist3,givenNumber); } } /* This code is contributed by Rajat Mishra */ |
Output:
Triplet Found: 15 2 8
Time complexity: The linked lists b and c can be sorted in O(nLogn) time using Merge Sort (See this). The step 2 takes O(n*n) time. So the overall time complexity is O(nlogn) + O(nlogn) + O(n*n) = O(n*n).
In this approach, the linked lists b and c are sorted first, so their original order will be lost. If we want to retain the original order of b and c, we can create copy of b and c.
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