10. The following algorithm checks the contents of an array in the positions that are powers...
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10. The following algorithm checks the contents of an array in the positions that are powers of 2 (i.e. indices 1, 2, 4, 8, 16, etc). The algorithm returns true as soon as it finds an array position where the index and the value stored in that index are the same. If no position satisfies this condition, the Boolean value false is returned. 1 2 3 4 5 6 7 8 9 10 11 12 13 A: array N: number of elements of array A, equal to a power of 2+1 (e.g. 2, 3, 5, 9, 17, etc). function F(A,N) i=1 while(i<N) if (A[i]==1) return true i=1*2 return false end function What are the best and worst case time complexities of this algorithm? best case is Theta(N) and worst case is Theta (logN) best case is Theta (1) and worst case is Theta(logN) best case is Theta (1) and worst case is Theta(N) none of the others best and worst cases are (logN) 10. The following algorithm checks the contents of an array in the positions that are powers of 2 (i.e. indices 1, 2, 4, 8, 16, etc). The algorithm returns true as soon as it finds an array position where the index and the value stored in that index are the same. If no position satisfies this condition, the Boolean value false is returned. 1 2 3 4 5 6 7 8 9 10 11 12 13 A: array N: number of elements of array A, equal to a power of 2+1 (e.g. 2, 3, 5, 9, 17, etc). function F(A,N) i=1 while(i<N) if (A[i]==1) return true i=1*2 return false end function What are the best and worst case time complexities of this algorithm? best case is Theta(N) and worst case is Theta (logN) best case is Theta (1) and worst case is Theta(logN) best case is Theta (1) and worst case is Theta(N) none of the others best and worst cases are (logN)
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Related Book For
Excellence in Business Communication
ISBN: 978-0136103769
9th edition
Authors: John V. Thill, Courtland L. Bovee
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