State True or false, for each of the following statements, and briefly explain why no points will be given even for a correct solution if no justification is presented. 1. For all asymptotically positive f(n).f(n) + O(f(n)) = 8 (f(n)) 2. The worst-case running time and expected running time are equal to within constant factors for any randomized algorithm. 3. There exists a data structure to maintain a dynamic set with operations Insert (x,S), Delete(x,S). and member? (x,S) that has an expected running time of O(1) per operation.

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
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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State True or false, for each of the following statements, and briefly explain why no points will be given even for a correct solution if no justification
is presented.
resented.
1. For all asymptotically positive f(n).f(n) + O(f(n)) = (f(n))
2. The worst-case running time and expected running time are equal to within constant factors for any randomized algorithm.
3. There exists a data structure to maintain a dynamic set with operations Insert (x,S), Delete(x,S). and member? (x,S) that has an expected
running time of O(1) per operation.
4. Let A₁, A₂ and A3 be three sorted arrays of n-real numbers (all distinct). In the comparison model constructing a balanced binary search tree
of the set A₁ U A₂ U A3 requires Q(nlogn) time.
5. If dynamic programming problem satisfies the optimal-substructure property, then a locally optimal solution is globally optimal.
Transcribed Image Text:State True or false, for each of the following statements, and briefly explain why no points will be given even for a correct solution if no justification is presented. resented. 1. For all asymptotically positive f(n).f(n) + O(f(n)) = (f(n)) 2. The worst-case running time and expected running time are equal to within constant factors for any randomized algorithm. 3. There exists a data structure to maintain a dynamic set with operations Insert (x,S), Delete(x,S). and member? (x,S) that has an expected running time of O(1) per operation. 4. Let A₁, A₂ and A3 be three sorted arrays of n-real numbers (all distinct). In the comparison model constructing a balanced binary search tree of the set A₁ U A₂ U A3 requires Q(nlogn) time. 5. If dynamic programming problem satisfies the optimal-substructure property, then a locally optimal solution is globally optimal.
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