Question
1. Consider a hypothetical algorithm that executes its basic operation t(n) = 300n^2 + 150n + log(n) times for every input of size n. Prove,
1. Consider a hypothetical algorithm that executes its basic operation t(n) = 300n^2 + 150n + log(n) times for every input of size n. Prove, using the definition of notation, that t(n) (n^2 ).
2. Consider three functions:
t1(n) = log n
t2(n) = n
t3(n) = n(n1)/2
Classify each of the following statements as True or False. 4.1 t1(n) (t1(n)) 4.2 t1(n) (t1(n)) 4.3 t1(n) O(t1(n)) 4.4 t1(n) (t2(n)) 4.5 t1(n) (t2(n)) 4.6 t1(n) O(t2(n)) 4.7 t1(n) (t3(n)) 4.8 t1(n) (t3(n)) 4.9 t1(n) O(t3(n)) 4.10 t2(n) (t1(n)) 4.11 t2(n) (t1(n)) 4.12 t2(n) O(t1(n)) 4.13 t2(n) (t2(n)) 4.14 t2(n) (t2(n)) 4.15 t2(n) O(t2(n)) 4.16 t2(n) (t3(n)) 4.17 t2(n) (t3(n)) 4.18 t2(n) O(t3(n)) 4.19 t3(n) (t1(n)) 4.20 t3(n) (t1(n)) 4.21 t3(n) O(t1(n)) 4.22 t3(n) (t2(n)) 4.23 t3(n) (t2(n)) 4.24 t3(n) O(t2(n)) 4.25 t3(n) (t3(n)) 4.26 t3(n) (t3(n)) 4.27 t3(n) O(t3(n))
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started