A. The table M does not contain errors. B. The table M contains one error.
C. The table M contains two errors.
D. The table M contains three errors. E. The table M contains four errors.
A. (a8, a6, a7, a5, a2) B. (a8, a6, a7, a9, a2) C. (a8, a1, a3, a9, a2) D. (a4, a3, a5)
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E. The exercise can not be solved using a greedy algorithm. As seen in class, a dynamic programming approach is needed.
A. TA B. TB C. TC D. TD
A. Alg1 = O(nlog(n)), Alg2 = O(n), Alg3 = O(2.5 ∗ n)
B. Alg1 = O(n2), Alg2 = O(n), Alg3 = O(nlog(n))
C. We need information about the computer where the experiments run in order to answer this question
D. Alg1 = O(4 ∗ n), Alg2 = O(2 ∗ n), Alg3 = O(0.25 ∗ n)
A. It can be solved using case 1 of the Master Theorem.
B. It can be solved using case 2 of the Master Theorem.
C. It can be solved using case 3 of the Master Theorem.
D. It can not be solved using the Master Theorem because it does not hold the regularity condition of case 3.
E. It can not be solved using the Master Theorem because any of the initial conditions of the three cases apply to it.
A. 1 B. 2 C. 3 D. 4 E. 5
A. Constant and it is bounded by O(p)
B. Linear and it is bounded by O(n)
C. Polynomial (quadratic) and it is bounded by O(n ∗ p) D. Pseudo-Polynomial and it is bounded by O(n ∗ p)
E. Polynomial (cubic) and it is bounded by O(n ∗ p ∗ i)
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