Table of Contents
- 1 When would you want to use a binary search tree instead of a hash table?
- 2 What are the two methods of binary tree implementation?
- 3 How hashing is better than linear and binary search?
- 4 Which algorithm can be used to obtain the elements in a binary search?
- 5 What is a binary search tree data structure?
- 6 What programming concepts have we used in binary tree?
When would you want to use a binary search tree instead of a hash table?
Hash Function: Hash functions are the most important part of the Hash Table. So, if your Hash Function is such that it uniformly distributes the keys, then you should go with the Hash Table. But if you are finding it hard to make some Hash Function, then go for Binary Search Tree.
What are the two methods of binary tree implementation?
Trees can be represented in two ways as listed below:
- Dynamic Node Representation (Linked Representation).
- Array Representation (Sequential Representation).
Which algorithm can be used to obtain the element in a binary search tree in sorted order?
Tree Sort
Tree sort is a sorting algorithm that is based on Binary Search Tree data structure. It first creates a binary search tree from the elements of the input list or array and then performs an in-order traversal on the created binary search tree to get the elements in sorted order.
Which is better hashing or BST?
@Solaraeus: Array-based BST’s are the best to compare to hash tables and they are no more wasteful than hash tables. You can also expand a BST with little more than a memory copy, compared to recomputing the whole table.
How hashing is better than linear and binary search?
The biggest advantage of hashing vs. binary search is that it is much cheaper to add or remove an item from a hash table, compared to adding or removing an item to a sorted array while keeping it sorted. (Binary search trees work a bit better in that respect).
Which algorithm can be used to obtain the elements in a binary search?
Binary Search Algorithm Dry Run
| 0 | 1 | 4 |
|---|---|---|
| 10 | 11 | 23 |
What is the most efficient data structure to represent an almost complete binary tree?
In computer science, a heap is a specialized tree-based data structure which is essentially an almost complete tree that satisfies the heap property: in a max heap, for any given node C, if P is a parent node of C, then the key (the value) of P is greater than or equal to the key of C.
Which of the following data structures are ideal for implementing a stack?
You can perform the implementation of stacks in data structures using two data structures that are an array and a linked list. Array: In array implementation, the stack is formed using an array. All the operations are performed using arrays.
What is a binary search tree data structure?
Binary Search Tree, is a node-based binary tree data structure which has the following properties: The left subtree of a node contains only nodes with keys lesser than the node’s key. The right subtree of a node contains only nodes with keys greater than the node’s key. The left and right subtree each must also be a binary search tree.
What programming concepts have we used in binary tree?
We have used Object Oriented Programming (OOP) concepts. A Binary tree is a heirarchichal data structure in which every node has 2 children, also known as left child and right child, as each node has 2 children hence the name “Binary”. Root node is the topmost node of the tree.
Why left and right pointers set to null in binary tree?
Therefore left and right pointers are set to NULL. To implement binary tree, we will define the conditions for new data to enter into our tree. The left sub tree of a node only contain nodes less than the parent node’s key. The right sub tree of a node only contains nodes greter than the parent node’s key.
What is the use of toArray() method in ArrayList?
The toArray() method of ArrayList is used to return an array containing all the elements in ArrayList in the correct order. Syntax: public Object[] toArray() or public T[] toArray(T[] a)