Introduction to Algorithms
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 11.3, Problem 5E
Program Plan Intro

To show that ε -universal family of hash function must have ε1|B|1|U|

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Problem 3: In this problem we assume that elements are drawn from a universal set U.(i) We insert n (different) elements into an empty hash table T of length m. If m = O(n),what is the time complexity of finding the minimal element in a T?(ii) Let |U| = m2 and suppose that collision is solved by chaining. Show that for everyhash function h: U → {0, 1, . . . , m − 1} there exists a sequence of m insertions intoan empty hash table T of length m giving rise a linked list of length m.
Problem 2: In this problem we assume that h: U → {0, 1,..., m - 1} is a good hash function, that is, every key k has the same probability to map to any place in the table T of length m. 1 m (i) What is the probability that three pairwise distinct elements u₁, U2, U3 EU are mapped by the function h to the same place in the table (that is, h(u₁) = h(u₂) = h(uz))?
Let S be the set consisting of all 10 digits and all upper- and lowercase letters. Let U be the set of all (ordered) strings consisting of exactly four elements from S. Construct an injective hash function h: U -> N with the smallest possible value of maxUh(u). Modify your hash function to give a simply uniform map h' to the set {0, ..., 30}. In other words, if U is a probability space with P(u) = P(u') for all u, u' in U, then the random variable h': U -> {0, ..., 30} should have a uniform distribution..
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