Chapter 1: Problem 1
Write an algorithm that finds the largest number in a list (an array) of \(n\) numbers.
Short Answer
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Chapter 1: Problem 1
Write an algorithm that finds the largest number in a list (an array) of \(n\) numbers.
These are the key concepts you need to understand to accurately answer the question.
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Get started for freeUnder what circumstances, when a searching operation is needed, would sequential Search (Algorithm 1.1) not be appropriate?
Let \(p(n)=a_{k} n^{k}+a_{k-1} n^{k-1}+\ldots+a_{1} n+a_{0},\) where \(a_{k}>0 .\) Using the Properties or order in Section \(1.4 .2,\) show that \(p(n) \in \Theta\left(n^{k}\right)\)
Show that the function \(f(n)=\left|n^{2} \sin n\right|\) is in neither \(O(n)\) nor \(\Omega(n)\)
Group the following function by complexity category. $$\begin{aligned}&n \ln n \quad(\lg n)^{2} \quad 5 n^{2}+7 n \quad n^{5 / 2}\\\&n ! \quad 2^{n !} \quad 4^{n} \quad n^{n} \quad n^{n}+\ln n\\\&5^{\lg n} \lg (n !) \quad(\lg n) ! \quad \sqrt{n} \quad e^{n} \quad 8 n+12 \quad 10^{n}+n^{20}\end{aligned}$$
Suppose you have a computer that requires 1 minute to solve problem instances of size \(n=1,000 .\) Suppose you buy a new computer that runs 1,000 times faster than the old one. What instance sizes can be run in 1 minute, assuming the following time complexities \(T(n)\) for our algorithm? a. \(T(n)=n\) b. \(T(n)=n^{3}\) c. \(T(n)=10^{n}\)
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