Consider the following description of two algorithms, A and B$,$ each with the same Big$-$O$.$ In A$\text{'}$s actual growth function there is a larger constant being added than in B$\text{'}$s$.$ In B$\text{'}$s actual growth function the dominant factor has a larger constant multiplier than in A$\text{'}$s$.$ Assume that the functions are alike in every other way. When looking at actual run$-$times $($rather than BigOh$),$ is one likely to be better than the other in all circumstances? If so$,$ which? Explain.

None of these is correct.

A is the better algorithm because the larger constant multiplier in B means that A will always be more efficient than $B.$

Neither is better than the other in any circumstance, because the two algorithms have the same BigOh and will always have exactly the same performance.

$B$ is the better algorithm because the larger constant addend in A means that A will always have more overhead than $B.$