Given the formal definition for Big O complexity analysis:
$f(x) \leq \ cg(x), \ \forall_x \geq k$ f(x) \leq \ cg(x), \ \forall_x \geq k , where $k, c \in \mathbb{R}$ k, c \in \mathbb{R}
What does this definition state?
Select all that apply:

Question

Given the formal definition for Big O complexity analysis:   f(x) \leq \ cg(x), \ \forall_x \geq k  ,  where    k, c \in  \mathbb{R}  What does this definition state? Select all that apply:

Answer

The best case scenario of an algorithm's running time

Answer

How an algorithm's run time or space requirements grow as the input size grows as well

Answer

A mechanism to specify a starting point on the running time of an algorithm

Answer

The limiting behavior of a function when the argument tends towards a particular value

Answer

The worst case scenario of an algorithm's running time

Crowdly

Given the formal definition for Big O complexity analysis: f(x) \leq \ cg(x), ...

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