Computes the norm of a matrix.

## Usage

norm2(x, p = 2)

## Arguments

x

a numeric matrix.

p

an integer value, 1, 2 or Inf, see section ‘Details’.

## Details

The function norm2 computes the norm of a matrix. Three choices are possible:

p=1

The maximum absolute column sum norm which is defined as the maximum of the sum of the absolute valued elements of columns of the matrix.

p=2

The spectral norm is "the norm" of a matrix X. This value is computed as the square root of the maximum eigenvalue of CX, where C is the conjugate transpose.

p=Inf

The maximum absolute row sum norm is defined as the maximum of the sum of the absolute valued elements of rows of the matrix.

## Note

Since base::norm() has become available in the R base environment, the function fBasics::norm() has become obsolete. To avoid conflicts with norm() we have renamed the fBasics' one to norm2.

## Value

the requested norm of the matrix, a non-negative number

## References

Golub, van Loan, (1996); Matrix Computations, 3rd edition. Johns Hopkins University Press.

## Examples

## Create Pascal Matrix:
P <- pascal(5)
P
#>      [,1] [,2] [,3] [,4] [,5]
#> [1,]    1    1    1    1    1
#> [2,]    1    2    3    4    5
#> [3,]    1    3    6   10   15
#> [4,]    1    4   10   20   35
#> [5,]    1    5   15   35   70

## Return the Norm of the Matrix:
norm2(P)
#> [1] 92.29043