Introduction to Algorithms
3rd Edition
ISBN: 9780262033848
Author: Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson, Clifford Stein
Publisher: MIT Press
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Chapter 14.2, Problem 3E
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To show the update of fattributes in
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2. We are given a complete binary tree with height h and n nodes. The link between a node and its left child is labeled as 0 and the link between a node and its right child is labeled as 1. A path from the root to each external node at the last level can be labeled by an h-tuple (X1, X2, ..., xh) of 1s and Os that lie on its links. See the following example:
0
0
1
1
0
0
1
0
(0,0,0)
(0,1,1)
Draw the portion of the state space tree generated by LCBB for the following instances. n = 4, m = 15, (P₁, ..., P) = (10, 10, 12, 18) (w₁,..... W 4) = (2, 4, 6, 9).
The mapping strategy that takes a complete binary tree to a vector can actually be used to store general trees, albeit in a space-inefficient manner. The strategy is to allocate enough space to hold the lowest, rightmost leaf, and to maintain null references in nodes that are not currently being used. What is the worst-case Vector length needed to store an n-element binary tree?
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- In fact, general trees can be stored using the same mapping technique that converts a full binary tree to a vector, albeit in a space-inefficient way. The plan is to set aside enough room to store the lowest, rightmost leaf and to keep null references in any nodes that are not being used right now. How long a vector must be in the worst-case scenario to store an n-element binary tree?arrow_forwardCreate a weighted quick union implementation for UF that always ties the shorter tree to the taller tree and follows the tree height tracking. Using your approach, establish a logarithmic upper constraint on the height of the trees for N sites.arrow_forwardSuppose that we have an estimate ahead of time of how often search keys areto be accessed in a BST, and the freedom to insert them in any order that we desire.Should the keys be inserted into the tree in increasing order, decreasing order of likelyfrequency of access, or some other order? Explain your answerarrow_forward
- Suppose that we have an estimate ahead of time of how often search keys areto be accessed in a BST, and the freedom to insert them in any order that we desire.Should the keys be inserted into the tree in increasing order, decreasing order of likely frequency of access, or some other order? Explain your answer.arrow_forwardLet T1, T2 be 2-3-4 trees and let x be a key [in neither T1, T2], such that for each pair of keys x1 ∈ T1 and x2 ∈ T2, we have x1 < x < x2. Thus, every key in T1 is smaller than every key in T2. Devise an algorithm that constructs the union of x with these two trees. Of course, the trees T1, T2 may be of different height, and the result must be a valid 2-3-4 tree. Your algorithm should run in O(1 + |h(T1) − h(T2)|).arrow_forwardTraverse the Ordered Rooted Tree T in Figure 1 in (A) Preorder, (B) Postorder, (C) Inorder.arrow_forward
- This exercise is about drawing BSTs. You are asked to: Show the result of inserting 3, 1, 4, 6, 9, 2, 5, and 7 in an initially empty binary search tree. Then show the result of deleting the root. Draw all binary search trees that can result from inserting permutations of 1, 2 and 3. How many types of trees are there? What are the probabilities of each type of tree’s occurring if all permutations are equally likely Given the input {4371, 1323, 6173, 4199, 4344, 9679, 1989}, a fixed table size of 10, and a hash function H(X) = X mod 10, show the resulting Linear probing hash table Separate chaining hash tablearrow_forwardSuppose that we have a tree, and we know its pre-order and in-order traversals as follows: Pre-order traversal:1 2 4 7 3 5 6 8 In-order traversal:4 7 2 1 5 3 8 6 a) Plot this tree (tip: you can validate your tree by checking its pre-order and in-order traversals to see if they are matched to the traversals given in the question)? b) Give the post-order traversal of this tree?arrow_forwardlet’s examine FSAs whose transition functions are FULL BINARY TREES. We can call these objects FBTSAs to help you remember that they are full binary trees. The alphabet of an FBTSA is Σ = {0, 1}, the start state is at the root, transition arrows must go away from the root and toward the leaves, and all transitions out of the leaves are to a fail state (not drawn). Like a normal FSA, any state can be either accepting or rejecting, except the fail state, which always rejects. Using big-O notation, give an upper bound for the number of accepted words in the language of any FBTSA in terms of the number of states |S|. Please explain your answer.arrow_forward
- Assume that each node in a binary tree is unique and that you are provided the order of items encountered in a preorder traversal and the order of elements encountered in a postorder traversal. Under what conditions can the tree's structure be correctly reconstructed using these two traversal orders?arrow_forwardMatch the term with each definition: In a binary tree, the left child (if any) of a node plus its descendants The number of nodes on the longest path from the root to a leaf A node on a path from a node to a leaf Set of nodes, T, such that either T is empty or T is partitioned into three disjoint sets (a single node r, called the root, and two (possibly empty) sets that are binary trees, called left and right subtrees of T). A binary tree such that for any given data item, x, in the tree, every node in the left subtree of x contains only items less than x. Every node in the right subtree of x contain only items greater than x. Nodes which have the same parent A node on the path from the root to a node A node directly "above" a node in the tree The node in a tree that has no parent If the node is the root, then the value is one. Otherwise, it's the value of one greater…arrow_forwardForm a B-tree with t = 4 by inserting in order nodes with the following keys: I,W,A,N,T,T,O,P,A,S,S,T,H,I,S,T,E,S,T, Draw the B-tree obtained after each improvement.arrow_forward
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