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This question deals with AVL trees. You must use mutable pairs/lists to implement this data structure:
(a) Define a procedure called make-avl-tree which makes an AVL tree with one node. Also create another constructor build-avl-tree that creates an AVL tree from a root, left subtree and right subtree. The constructors return an AVL tree object.
(b) Create procedures for accessing the root, left subtree and right subtree, and also mutators for changing the root, left subtree and right subtree of an avl argument.
(c) Write a procedure called (insert n t). This procedure has 2 arguments: n is the value being inserted, t is the AVL tree.
(d) Write a procedure called (lookup n t). This procedure has 2 arguments: n is the value being looked up, t is the AVL tree. The subtree with n as its root is returned (or '() if no such node is found).
(e) Write a procedure called (print-as-list t). This procedure prints the AVL tree passed in t as a regular list (not a mutable list).
(f) Write a procedure called (print-inorder t). This procedure prints the AVL tree passed in t in inorder traversal form.
A binary search tree (BST), which may sometimes also be named a sorted or ordered binary tree, is an edge based binary tree data structure which has the following functionalities:
Write c++ function to traverse the threaded binary tree in inorder traversal
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Write an assembly program to separate the number of positive numbers and negative numbers from a given series of signed numbers.
Post-order Traversal This can be done both iteratively and recursively. The iterative solution would need a change of the in-order traversal algorithm.
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As we have seen, as the traversal mechanisms were intrinsically recursive, the implementation was also easy through a recursive procedure. Though, in the case of a non-recursive me
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Q. Explain what do we understand by Binary Search Tree (BST)? Make a BST for the following given sequence of the numbers. 45, 32, 90, 21, 78, 65, 87, 132, 90, 96, 41, 74, 92
What is an Algorithm? An algorithm is a sequence of unambiguous instructions for solving a problem, i.e., for getting a needed output for any legitimate input in a finite amoun
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