In linear algebra, the rank of a matrix
A
A is the dimension of the vector space generated (or spanned) by its columns.[1] This corresponds to the maximal number of linearly independent columns of
A
A. This, in turn, is identical to the dimension of the vector space spanned by its rows.[2] Rank is thus a measure of the "nondegenerateness" of the system of linear equations and linear transformation encoded by
A
A. There are multiple equivalent definitions of rank. A matrix's rank is one of its most fundamental characteristics.
The rank is commonly denoted by
rank
(
A
)
{\displaystyle \operatorname {rank} (A)} or
rk
(
A
)
{\displaystyle \operatorname {rk} (A)}; sometimes the parentheses are not written, as in
rank
A
{\displaystyle \operatorname {rank} A}.
Step-by-step explanation:
the formula to calculate a circumference is
(consider x as the diameter)
so I'll be noting the circumference as C alongside the circle's ranking
a.
b.
c.
hope I helped
429.8x 4 days=1,719.2miles driven on a four day trip.
Answer:
1280
Step-by-step explanation:
I think it is 1280 because 20*16*8/2=1280. I am not 100% sure.
Simply add the two dosages together, (0.15+0.025) and the answer is 0.175 :)
