# This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Library General Public # License as published by the Free Software Foundation; either # version 2 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Library General Public License for more details. # # You should have received a copy of the GNU Library General # Public License along with this library; if not, write to the # Free Foundation, Inc., 59 Temple Place, Suite 330, Boston, # MA 02111-1307 USA # Copyrights (C) # for this R-port: # 1999 - 2008, Diethelm Wuertz, Rmetrics Foundation, GPL # Diethelm Wuertz # www.rmetrics.org # for the code accessed (or partly included) from other R-ports: # see R's copyright and license files # for the code accessed (or partly included) from contributed R-ports # and other sources # see Rmetrics's copyright file ################################################################################ # LINEAR ALGEBRA: DESCRIPTION: # norm Returns the norm of a matrix ################################################################################ norm <- function(x, p = 2) { # A function implemented by Diethelm Wuertz # Description: # Returns the spectral norm of a matrix # Details: # http://mathworld.wolfram.com/MatrixNorm.html: # For p = 1 # The maximum absolute column sum norm |A|_1 is defined # as the maximum of the sum of the absolute valued elements # of columns of the matrix. # For p = 2: # The spectral |A|_2 norm is "the" of a matrix. This value # is computed as the square root of the maximum eigenvalue # of A^H A where A^H is the conjugate transpose. # For p = Inf: # The maximum absolute row sum norm |A|_inf is defined # as the maximum of the sum of the absolute valued elements # of rows of the matrix. # FUNCTION: # Compute Norm: ans = NA if (p == 1) { x = abs(x) ans = max(apply(x, 2, sum)) } if (p == 2) { ans = sqrt(max(eigen(t(x) %*% x)$values)) } if (p == Inf) { x = abs(x) ans = max(apply(x, 1, sum)) } if (is.na(ans)) stop("Invalid value for p") # Return value: ans } ################################################################################