What are some strategies for optimizing memory usage in a binary search tree data structure
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- In comparison to other types of data structures, such as linked lists and arrays, how does a binary search tree compare favourably?What advantages does a binary search tree have over other data structures, such as a linked list or an array, and how might these advantages be utilized?One can easily see the benefits of a binary search tree when comparing it to other data structures like a linked list or an array.
- Write a C program to perform following operation on Circular LinkedList: Create() - Create a Circular LinkedList Sum() - Sum all the elements Length() - Count the number of nodes and display it Delete() - Delete a node from the ending Note: It must be menu-driven program and User defined functions must be there for all the functionalitiesWhat is the best way to explain a data structure that employs a double linked list?The best data structures in terms of asymptotic time complexities for performing the following operations respectively are CONCATENATION (A, B): Concatenate all elements of A and B together Insert(T, key): Insert key to T Delete (T, key): Delete key from T if present Search (T, key): Returns true if key is present in T Stack, Binary Search Tree, Sorted Array, Linked List Linked List, Stack, Binary Search Tree, Sorted Array Linked List, Stack, Sorted Array, Binary Search Tree Stack, Linked List, Sorted Array, Binary Search Tree
- What are the benefits of a binary search tree over other data structures, such as a linked list or an array?When compared to alternative data structures like a linked list or an array, how are binary search trees better?C Programming language Binary Search Tree Empirical and Theoretical Results Part 1: we need to define a binary search tree data structure. Also, we need to implement the following functions: 1. Insert Sorted: BSTREE insert(BSTREE root, int num): root points to a node in a binary search tree; num is a number to be inserted in the tree rooted at "root". This function returns the root of the modified tree. 2. Print Elements: void inorder traversal(BSTREE root, FILE *fp): root points to a node in a binary search tree. This function does not return anything, but prints out, to the file specified, the nodes in the tree rooted at "root" by performing an inorder traversal. Part 2: Test the performance of the designed data structure using theoretical and experimental approaches as follows:1. Dataset 1-Dataset is sorted- Add code to insert the numbers 1...n in that order in an initially empty doubly linked list and a binary search tree. a. Run it on different values of n where : i.…