Chapter 1: Problem 1
Write an algorithm that finds the largest number in a list (an array) of \(n\) numbers.
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Chapter 1: Problem 1
Write an algorithm that finds the largest number in a list (an array) of \(n\) numbers.
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Discuss the reflexive, symmetric, and transitive properties for asymptotic comparisons \((O, \Omega, \theta, o)\)
Using the definitions of \(O\) and \(\Omega\), show that \\[ 6 n^{2}+20 n \in O\left(n^{3}\right) \quad \text { but } \quad 6 n^{2}+20 n \notin \Omega\left(n^{3}\right) \\]
What is the time complexity \(T(n)\) of the nested loops below? For simplicity, you may assume that \(n\) is a power of \(2 .\) That is, \(n=2^{k}\) for some positive integer \(k\) : \\[ \begin{array}{l} i=n_{i} \\ \text { while }(i>=1)\\{ \\ \qquad \begin{array}{c} j=i \\ \text { while }(j<=n) \end{array} \end{array} \\] < body of the inner while loop> \(\quad\) I/ Needs \(\Theta(1)\) \\[ j=2^{*} j \\] } \\[ i=|1 / 2| \\] }
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) \(T(n) \in \Theta\left(10^{n}\right)\)
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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