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Data Structure  Interview Questions and Answers for 'Linkedlist'  19 question(s) found  Order By Newest  
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Ans. ArrayList are implemented in memory as arrays and hence allows fast retrieval through indices but are costly if new elements are to be inserted in between other elements. LinkedList allows for constanttime insertions or removals using iterators, but only sequential access of elements 1. Retrieval  If Elements are to be retrieved sequentially only, Linked List is preferred. 2. Insertion  If new Elements are to be inserted in between other elements , Linked List is preferred. 3. Search  Binary Search and other optimized way of searching is not possible on Linked List. 4. Sorting  Initial sorting could be pain but lateral addition of elements in a sorted list is good with linked list. 5. Adding Elements  If sufficiently large elements needs to be added very frequently ,Linked List is preferable as elements don't need consecutive memory location.  
Sample Code for ArrayList Sample Code for LinkedList  
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Ans. Underlying data structure for ArrayList is Array whereas LinkedList is the linked list and hence have following differences  1. ArrayList needs continuous memory locations and hence need to be moved to a bigger space if new elements are to be added to a filled array which is not required for LinkedList. 2. Removal and Insertion at specific place in ArrayList requires moving all elements and hence leads to O(n) insertions and removal whereas its constant O(1) for LinkedList. 3. Random access using index in ArrayList is faster than LinkedList which requires traversing the complete list through references. 4. Though Linear Search takes Similar Time for both, Binary Search using LinkedList requires creating new Model called Binary Search Tree which is slower but offers constant time insertion and deletion. 5. For a set of integers you want to sort using quicksort, it's probably faster to use an array; for a set of large structures you want to sort using selection sort, a linked list will be faster.  
Sample Code for ArrayList Sample Code for LinkedList  
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Ans. public class LinkedList { Node start = null; Node head = null; class Node{ Integer body; Node nextNode; Node(Integer value){ body = value; } } private void insertInMiddle(Integer value){ head = start; if(start == null) { start = new Node(value); head = start; head.nextNode = null; return; } while(head.body < value){ if(head.nextNode == null  head.nextNode.body >= value){ Node newNode = new Node(value); newNode.nextNode = head.nextNode; head.nextNode = newNode; break; } head = head.nextNode; } } private void traverse(){ head = start; while(head != null){ System.out.println(head.body); head = head.nextNode; } } public static void main(String[] args){ LinkedList ll = new LinkedList(); ll.insertInMiddle(5); ll.insertInMiddle(10); ll.insertInMiddle(15); ll.insertInMiddle(7); ll.traverse(); } }  
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Ans. LinkedList and ArrayList are two different implementations of the List interface. LinkedList implements it with a doublylinked list. ArrayList implements it with a dynamically resizing array.  
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Ans. First Find the number of nodes in the linked list and take it as n.then find the data at n3 element.  
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Ans. public class LinkedList { Node start = null; Node head = null; class Node { Integer body; Node nextNode; Node(Integer value) { body = value; } } private void addNodeToEnd(Integer value) { if (start == null) { start = new Node(value); head = start; head.nextNode = null; return; } while (head.nextNode != null) { head = head.nextNode; } head.nextNode = new Node(value); } private void traverse() { head = start; while (head != null) { System.out.println(head.body); head = head.nextNode; } } public static void main(String[] args) { LinkedList ll = new LinkedList(); ll.addNodeToEnd(5); ll.addNodeToEnd(10); ll.addNodeToEnd(15); ll.traverse(); } }  
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Ans. public class LinkedList { Node start = null; Node head = null; class Node { Integer body; Node nextNode; Node(Integer value) { body = value; } } private void addNodeToEnd(Integer value) { if (start == null) { start = new Node(value); head = start; head.nextNode = null; return; } while (head.nextNode != null) { head = head.nextNode; } head.nextNode = new Node(value); } private void deleteNode(Integer value) { head = start; while (head.nextNode != null) { if(head.nextNode.body == value){ head.nextNode = head.nextNode.nextNode; } head = head.nextNode; } } private void traverse() { head = start; while (head != null) { System.out.println(head.body); head = head.nextNode; } } public static void main(String[] args) { LinkedList ll = new LinkedList(); ll.addNodeToEnd(5); ll.addNodeToEnd(10); ll.addNodeToEnd(15); ll.traverse(); ll.deleteNode(10); ll.traverse(); } }  
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Ans. No, Generic parameters cannot be primitives.  
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Ans. All are correct.  
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Ans. Array List works on Array and when we add an element in middle of the list, Array List need to update the index of all subsequent elements. I the capacity is full, it even may need to move the whole list to a new memory location . Linked List works on Double linked list algorithm and all it has to do is to adjust the address of the previous and next elements.  
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Ans. Initialize an ArrayList that will hold LinkedLists i.e every element of the arraylist will be a linked list. Such collection could be used in algorithms that require first random access and then sequential traversal. For example  Storing traversal paths for a graph wherein we can start from any vertex. Implementing dictionary with each arraylist element holding staring with character and then linked list holding duplicate words.  
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Ans. Arrays allows elements to be accessed directly using the index. As Array elements are stored in continuous memory locations it's very easy to find the memory address of any element using the formula as following Memory Address of Array start or index 0 + ( Size of array element * Index )  
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Ans. public class LinkedList { Node start = null; Node head = null; class Node { Integer body; Node nextNode; Node(Integer value) { body = value; } } public static void main(String[] args) { LinkedList ll = new LinkedList(); ll.addNodeToEnd(5); ll.addNodeToEnd(10); ll.addNodeToEnd(15); ll.traverse(); if(checkIfLoop(l1)){ System.out.println("There is a Loop"); } else { System.out.println("No Loop"); } } private boolean checkifLoop(Test l1) { Node slow = start; Node fast = start; Node faster = start; while(slow != null ) { fast = slow.nextNode; faster = fast.nextNode; if(slow == fast  slow == faster) { return true; } slow = slow.nextNode; } return false; } } Complexity of this algorithm is O(n)  
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