Nothing
spectral.norm <- function( x )
{
###
### This function computes the spectral norm for an m by n matrix x
### If x is a vector, then the L2 norm is returned
###
### arguments
### x = a numeric matrix or vector
###
if ( !is.numeric( x ) ) {
stop( "argument x is not numeric" )
}
if ( is.vector( x ) ) {
return( sqrt( sum( x * x ) ) )
}
if ( !is.matrix( x ) ) {
return( "argument x is not a matrix" )
}
A <- t(x) %*% x
eigenA <- eigen( A )
lambdaA <- eigenA$values
maxLambdaA <- lambdaA[1]
if ( maxLambdaA < 0 ) {
stop( "t(x) %*% x is negative definite" )
}
return( sqrt( maxLambdaA ) )
}
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