Suppose you're consulting for a bank that's concerned about fraud detection, and they come to you with the following problem. They have a collection of n bank cards that they've confiscated, suspecting them of being used in fraud. Each bank card is a small plastic object, containing a magnetic stripe with some encrypted data, and it corresponds to a unique account in the bank. Each account can have many bank cards corresponding to it, and we'll say that two bank cards are equivalent if they correspond to the same account. It's very difficult to read the account number off a bank card directly, but the bank has a high- tech "equivalence tester" that takes two bank cards and, after performing some computations, determines whether they are equivalent. Their question is the following: among the collection of n cards, is there a set of more than n/2 of them that are all equivalent to one another? Assume that the only feasible operations you can do with the cards are to pick two of them and plug them in to the equivalence tester. Give a divide-and-conquer algorithm to decide the answer to their question with only O(n log n) invocations of the equivalence tester.
Suppose you're consulting for a bank that's concerned about fraud detection, and they come to you with the following problem. They have a collection of n bank cards that they've confiscated, suspecting them of being used in fraud. Each bank card is a small plastic object, containing a magnetic stripe with some encrypted data, and it corresponds to a unique account in the bank. Each account can have many bank cards corresponding to it, and we'll say that two bank cards are equivalent if they correspond to the same account. It's very difficult to read the account number off a bank card directly, but the bank has a high- tech "equivalence tester" that takes two bank cards and, after performing some computations, determines whether they are equivalent. Their question is the following: among the collection of n cards, is there a set of more than n/2 of them that are all equivalent to one another? Assume that the only feasible operations you can do with the cards are to pick two of them and plug them in to the equivalence tester. Give a divide-and-conquer algorithm to decide the answer to their question with only O(n log n) invocations of the equivalence tester.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Transcribed Image Text:Suppose you're consulting for a bank that's concerned about fraud detection, and they come
to you with the following problem. They have a collection of n bank cards that they've
confiscated, suspecting them of being used in fraud. Each bank card is a small plastic object,
containing a magnetic stripe with some encrypted data, and it corresponds to a unique
account in the bank. Each account can have many bank cards corresponding to it, and we'll
say that two bank cards are equivalent if they correspond to the same account.
It's very difficult to read the account number off a bank card directly, but the bank has a high-
tech "equivalence tester" that takes two bank cards and, after performing some
computations, determines whether they are equivalent.
Their question is the following: among the collection of n cards, is there a set of more than
n/2 of them that are all equivalent to one another? Assume that the only feasible operations
you can do with the cards are to pick two of them and plug them in to the equivalence tester.
Give a divide-and-conquer algorithm to decide the answer to their question with only O(n log
n) invocations of the equivalence tester.
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