pracma (version 1.7.3)

Norm: Vector Norm

Description

The Norm function calculates several different types of vector norms for x, depending on the argument p.

Usage

Norm(x, p = 2)

Arguments

x

Numeric vector; matrices not allowed.

p

Numeric scalar or Inf, -Inf; default is 2

Value

• Numeric scalar (or Inf), or NA if an element of x is NA.

Details

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)).

See Also

norm of a matrix

Examples

Norm(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)