1. Determine whether each of these functions is O(x).a) f (x) = 10 b) f (x) = 3x + 7 c) f (x) = x2 + x + 1 d) f (x) = 5 log x
Question
1. Determine whether each of these functions is O(x).
a) f (x) = 10
b) f (x) = 3x + 7
c) f (x) = x^2 + x + 1
d) f (x) = 5 log x
Solution
1. Break Down the Problem
We need to determine whether each of the given functions is . This involves checking if there are constants and such that for all ,
2. Relevant Concepts
The notation represents the set of functions that grow no faster than up to constant factors. We will analyze each function in relation to .
3. Analysis and Detail
a)
- For small values of (e.g., ), is valid for and .
- As increases, remains constant, while grows. Thus, for all , holds true.
Conclusion: is .
b)
- For large , .
- We can choose (since for ) and .
Conclusion: is .
c)
- The dominant term is .
- We analyze: For large , .
- We compare it to : grows faster than for any constant when is large. Therefore, no constants exist.
Conclusion: is not .
d)
- The growth rate of is slower than any linear function .
- For sufficiently large , where can be chosen (e.g., works for chosen around ).
Conclusion: is .
4. Verify and Summarize
The functions and their classifications are:
- is .
- is .
- is not .
- is .
Final Answer
- : Yes,
- : Yes,
- : No, not
- : Yes,
Similar Questions
4. Determine whether x3 is O(g(x)) for each of these functions g(x).a) g(x) = x2 b) g(x) = x3 c) g(x) = x2 + x3d) g(x) = x2 + x4 e) g(x) = 3x f ) g(x) = x3/2
6. Give as good a big-O estimate as possible for each of these functions.a) (n2 + 8)(n + 1) b) (n log n + n2)(n3 + 2) c) (n! + 2n)(n3 + log(n2 + 1))
Which of the given options provides the increasing order of complexity of functions f1, f2, f3 and f4:f1(n) = 2^nf2(n) = n^(3/2)f3(n) = nLognf4(n) = n^(Logn)
Time complexities of three algorithms are given. Which should execute the slowest for largevalues of N?(A) O(N^0.5)#(B) O(n)(C) O(logN)(D) O(log2n)(E)O(NlogN
Which of the following time complexities indicates the slowest growing function?O(n!)O(2^n)O(n^3)O(n log n)
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.