Frequently asked Java Collections interview questions and answers Frequently asked Java Collections interview questions and answers Java Collections Framework is the fundamental aspect of Java programming language.

Example A binary search tree or BST is a popular data structure which is used to keep elements in order. A binary search tree is a binary tree where the value of a left child is less than or equal to the parent node and value of the right child is greater than or equal to the parent node.

Since its a binary tree, it can only have 0, 1 or two children. What makes a binary search tree special is its ability to reduce the time complexity of fundamental operations like add, remove and search, also known as insert, delete and find.

In a BST, all these operations insert, remove and find can be performed in O log n time. The reason for this improvement in speed is because of the unique property of binary search tree, where for each node, the data in the left child is less than or equal and the data in the right child is greater than or equal to the data in said node.

In Programming interviews, you will see many data structure and algorithmic questions based upon binary search tree e.

Or, write a program to check if BST is balanced or not. In order to solve that problem, you must know how to implement BST in Java. In this tutorial, I will teach you how to implement a binary search tree in Java, which you can use to solve any binary search tree or binary tree based coding problems.

Binary Search tree in Java Here, You will learn how to create a binary search tree with integer nodes. I am not using Generics just to keep the code simple but if you like you can extend the problem to use Generics, which will allow you to create a Binary tree of String, Integer, Float or Double.

Remember, you make sure that node of BST must implement the Comparable interface. This is what many Java programmer forget when they try to implement binary search tree with Generics.

Here is an implementation of a binary search tree in Java. In this implementation, I have created a Node class, which is similar to our linked list node class, which we created when I have shown you how to implement linked list in Java. It has a data element, an integer and a Node reference to point to another node in the binary tree.

I have also created four basic functions, as shown below: Here is the sample code to create a binary search tree or BST in Java, without using any third party library.

In this tutorial, you have learned to create the structure of BST using Node class and some basic function. In next couple of tutorials, you will learn some more interesting things with BST e. I mean, it first needs to find a right place and then needs to add the element.

Subsequently, you will also learn how to search a node in binary search tree. Further Reading If you are interested in learning Data structure and Algorithm in Java Programming language then you can following books which have several examples of the tree, linked list, heap and other advanced data structure in Java.Java Collections Framework is the fundamental aspect of java programming language.

Itâ€™s one of the important topic for java interview grupobittia.com I am listing some important java collections interview questions and answers for helping you in interview.

Frequently asked Java Collections interview questions and answers. Java Collections Framework is the fundamental aspect of Java programming language. A good understanding of Collections framework is required to understand and leverage many powerful features of Java.

Here is our sample Java program to sort a HashMap first by keys and then by values. This program is divided into two part, first part sorts HashMap by keys and second part sorts it by values. Insertion sort is a simple sorting algorithm that works the way we sort playing cards in our hands.

Algorithm // Sort an arr[] of size n insertionSort(arr, n). Insertion sort is a simple sorting algorithm that works the way we sort playing cards in our hands. Algorithm // Sort an arr[] of size n insertionSort(arr, n).

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Description: Sort or order a HashMap or TreeSet or any map item by value. Write a comparator which compares by value, not by key. Entry class might hleps you here.

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