If f(n) = O(g(n)), which of the following statements is true?g(n) grows faster than f(n) as n increasesf(n) grows faster than g(n) as n increasesf(n) and g(n) grow at the same rate as n increasesNone of the above
Question
If f(n) = O(g(n)), which of the following statements is true?g(n) grows faster than f(n) as n increasesf(n) grows faster than g(n) as n increasesf(n) and g(n) grow at the same rate as n increasesNone of the above
Solution
The statement "f(n) = O(g(n))" in Big O notation means that the function f(n) grows at a rate that is at most as fast as g(n) as n increases. Therefore, the correct answer is "g(n) grows faster than f(n) as n increases". However, it's important to note that this doesn't necessarily mean that g(n) always grows faster than f(n) for all values of n, but rather that there exists some value of n beyond which g(n) will always grow faster.
Similar Questions
Which of the following is the correct order of growth from fastest to slowest?O(1), O(n), O(n log n), O(n^2)O(n^2), O(n log n), O(n), O(1)O(n log n), O(n), O(1), O(n^2)O(n), O(1), O(n^2), O(n log n)
Which of the following is false on two positive functions f and g?A. if f = ⇥ (g), then g = ⌦ (f )B. if f = ⇥ (g), then g = ⇥ (f )C. if f = ⇥ (g), then g = O(f )D. none of them.
Which of the following statements is FALSE about Big O notation?Group of answer choicesIt can be used to compare the efficiency of different algorithmsIt ignores constant factors.It considers only the dominant/leading term as the input size grows.It represents the worst-case time complexity.
Which of the following time complexities indicates the slowest growing function?O(n!)O(2^n)O(n^3)O(n log n)
For each of the following statements, mark in the answer sheets whether the statement istrue or false.(a) Let f and g be positive functions. Then, f (n) + g(n) ∈ O(n) implies that f ∈ O(n)and g ∈ O(n).(b) There exist functions f, g ∈ Ω(n) such that f − g ∈ Ω(g) and 2g − f ∈ Ω(f ).
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