Last chance! 50% off unlimited learning
Sale ends in
Norm function calculates several different types of vector
norms for x, depending on the argument p.Norm(x, p = 2)Inf), or NA if an element of x
is NA.Norm returns a scalar that gives some measure of the magnitude
of the elements of x. It is called the $p$-norm for values
$-Inf \le p \le Inf$, defining Hilbert spaces on $R^n$. Norm(x) is the Euclidean length of a vecor x; same as
Norm(x, 2).
Norm(x, p) for finite p is defined as sum(abs(A)^p)^(1/p).
Norm(x, Inf) returns max(abs(x)),
while Norm(x, -Inf) returns min(abs(x)).
norm of a matrixNorm(c(3, 4)) #=> 5 Pythagoras triple
Norm(c(1, 1, 1), p=2) # sqrt(3)
Norm(1:10, p = 1) # sum(1:10)
Norm(1:10, p = 0) # Inf
Norm(1:10, p = Inf) # max(1:10)
Norm(1:10, p = -Inf) # min(1:10)Run the code above in your browser using DataLab