What is the difference between BST and binary tree?

A Binary Tree is a non-linear data structure in which a node can have 0, 1 or 2 nodes. Individually, each node consists of a left pointer, right pointer and data element. A Binary Search Tree is an organized binary tree with a structured organization of nodes. Each subtree must also be of that particular structure.
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What is the difference between binary search tree BST and heap?

The Heap differs from a Binary Search Tree. The BST is an ordered data structure, however, the Heap is not. In computer memory, the heap is usually represented as an array of numbers. The heap can be either Min-Heap or Max-Heap.
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What is the difference between heap and red black tree?

Heap: dominance: parent < children only. Red-black tree: pointers used to represent structure of tree, so overhead per element. Typically uses a number of nodes allocated on free store (e.g. using new in C++), nodes point to other nodes. Kept balanced to ensure logarithmic lookup / insertion.
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What is the difference between min-heap and max heap?

Min-Heap − Where the value of the root node is less than or equal to either of its children. Max-Heap − Where the value of the root node is greater than or equal to either of its children. Both trees are constructed using the same input and order of arrival.
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What is the difference between BST and AVL tree?

Differences between Binary Search tree and AVL tree

Every AVL tree is also a binary tree because AVL tree also has the utmost two children. In BST, there is no term exists, such as balance factor. In the AVL tree, each node contains a balance factor, and the value of the balance factor must be either -1, 0, or 1.
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Binary Tree and Binary Search Tree in Data Structure



What is the difference between B and B+ tree?

B+ tree is an extension of the B tree. The difference in B+ tree and B tree is that in B tree the keys and records can be stored as internal as well as leaf nodes whereas in B+ trees, the records are stored as leaf nodes and the keys are stored only in internal nodes.
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What is heap 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.
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Is priority queue and heap same?

The priority queue is the queue data structure and the heap is the tree data structure that operates and organizes data. The priority queue is based on a queue data structure working as a queue with a priority function. The heap is a tree data structure uses for sorting data in a specific order using an algorithm.
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What are the differences between array and linked list?

An array is a collection of elements of a similar data type. A linked list is a collection of objects known as a node where node consists of two parts, i.e., data and address. Array elements store in a contiguous memory location. Linked list elements can be stored anywhere in the memory or randomly stored.
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What is stack data type?

A stack is an Abstract Data Type (ADT), commonly used in most programming languages. It is named stack as it behaves like a real-world stack, for example – a deck of cards or a pile of plates, etc. A real-world stack allows operations at one end only.
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What is the difference between B-tree and B+ tree Mcq?

In B+ trees, data records are stored only in the leaf nodes but in B trees data records are stored both in leaf and internal nodes.
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What is a B+ tree?

The B+-tree is a tree structure where every node corresponds to a disk block and which satisfies the following properties: The tree is balanced, i.e., every leaf node has the same depth. An internal node stores a list of keys and a list of pointers.
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Can heap have duplicates?

We can have duplicate values in a heap — there's no restriction against that. A heap doesn't follow the rules of a binary search tree; unlike binary search trees, the left node does not have to be smaller than the right node!
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Is priority queue a min-heap?

min-heap and max-heap are both priority queue , it depends on how you define the order of priority. That is to say, a priority queue can be a min-heap or a max-heap in your algorithm.
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Is heap a binary tree?

Shape property: a binary heap is a complete binary tree; that is, all levels of the tree, except possibly the last one (deepest) are fully filled, and, if the last level of the tree is not complete, the nodes of that level are filled from left to right.
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What is a stack vs heap?

Stack is a linear data structure whereas Heap is a hierarchical data structure. Stack memory will never become fragmented whereas Heap memory can become fragmented as blocks of memory are first allocated and then freed. Stack accesses local variables only while Heap allows you to access variables globally.
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How does priority queue work?

A priority queue is a special type of queue in which each element is associated with a priority value. And, elements are served on the basis of their priority. That is, higher priority elements are served first. However, if elements with the same priority occur, they are served according to their order in the queue.
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What is a balance tree?

A balanced binary tree, also referred to as a height-balanced binary tree, is defined as a binary tree in which the height of the left and right subtree of any node differ by not more than 1.
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