Chapter 1: Problem 3
Write an algorithm that prints out all the subsets of three elements of a set of \(n\) elements. The elements of this set are stored in a list that is the input to the algorithm.
Chapter 1: Problem 3
Write an algorithm that prints out all the subsets of three elements of a set of \(n\) elements. The elements of this set are stored in a list that is the input to the algorithm.
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Get started for freeJustify the correctness of the following statements assuming that \(f(n)\) and \(g(n)\) are asymptotically positive functions. (a) \(f(n)+g(n) \in O(\max (f(n), g(n))\) (b) \(f^{2}(n) \in \Omega(f(n))\) (c) \(f(n)+o(f(n)) \in \Theta(f(n)),\) where \(o(f(n))\) means any function \(g(n) \in\) \(o(f(n))\)
Write an Insertion Sort algorithm that uses Binary Search to find the position where the next insertion should take place.
Discuss the reflexive, symmetric, and transitive properties for asymptotic comparisons \((O, \Omega, \theta, o)\)
Presently we can solve problem instances of size 100 in 1 minute using algorithm A, which is a \(\Theta\left(2^{n}\right)\) algorithm. On the other hand, we will soon have to solve problem instances twice this large in 1 minute. Do you think it would help to buy a faster (and more expensive) computer?
Suppose you have a computer that requires I minute to solve problem in stances of size \(n=1000 .\) What instance sizes can be run in 1 minute if you buy a new computer that runs 1000 times faster than the old one, assuming the following time complexities \(T(n)\) for our algorithm? (a) \(T(n) \in \Theta(n)\) (b) \(T(n) \in \Theta\left(n^{3}\right)\) (c) \(T(n) \in \Theta\left(10^{n}\right)\)
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