Which data structure is most suitable?

An array is the simplest and most widely used data structure. Other data structures like stacks and queues are derived from arrays.

Which data structure is best for search operation?

Asymptotic amortized worst-case analysis

Data Structure	Insert	Search
Unsorted linked list	O(1)	O(n)
Sorted linked list	O(n)	O(n)
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Self-balancing binary search tree	O(log n)	O(log n)

What is difference between Binary Search Tree and heap tree?

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. Similarly, the main rule of the Max-Heap is that the subtree under each node contains values less or equal than its root node.

What is the difference between a binary search tree 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.

What is the difference between binary search tree and linked list?

The left and right subtree each must also be a binary search tree. BST provide moderate access/search (quicker than Linked List and slower than arrays). BST provide moderate insertion/deletion (quicker than Arrays and slower than Linked Lists).

What are the advantages of binary search tree?

The big advantage of a Binary Search Tree is that we can get traverse the tree and get all our values in sorted order in time. 3. Heap The Heap is a Complete Binary Tree.

What is the difference between a binary tree and an array?

Unlike Arrays, Linked Lists, Stack and queues, which are linear data structures, trees are hierarchical data structures. A binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child.