Frobenius Norm of Two Matrices

Description

Computation of the Frobenius norm of two matrices as the sum of the squared differences between these matrices.

Usage

fnorm(mat1, mat2)

Arguments

Value

Return value is the Frobenius norm.

Note

Both input matrices must have the same dimensions.

Author(s)

Franziska Hoffgaard

Examples

a<-matrix(runif(15, 1, 7), 5, 3)
b<-matrix(rnorm(15, 1, 7), 5, 3)
fn<-fnorm(a, b)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(BioPhysConnectoR)
Loading required package: snow
Loading required package: matrixcalc
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BioPhysConnectoR/fnorm.Rd_%03d_medium.png", width=480, height=480)
> ### Name: fnorm
> ### Title: Frobenius Norm of Two Matrices
> ### Aliases: fnorm
> ### Keywords: utilities
> 
> ### ** Examples
> 
> a<-matrix(runif(15, 1, 7), 5, 3)
> b<-matrix(rnorm(15, 1, 7), 5, 3)
> fn<-fnorm(a, b)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>