fnorm: The Frobenius Norm
In TensorTools: Multilinear Algebra
fnorm R Documentation
The Frobenius Norm
Description
The Frobenius norm of an array is the square root of the sum of its squared elements. This function works for vector and matrix arguments as well.
Usage
fnorm(tnsr)
Arguments
tnsr
a 3-mode tensor S3 class object
Value
The Frobenius norm
Author(s)
Kyle Caudle
Randy Hoover
Jackson Cates
Everett Sandbo
References
Friedland, S., & Aliabadi, M. (2018). Linear algebra and matrices. Society for Industrial and Applied Mathematics.
Examples
T <- t_rand(modes=c(2,2,4))
fnorm(T$data)
TensorTools documentation built on Oct. 18, 2024, 1:07 a.m.
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| fnorm | R Documentation |
The Frobenius Norm
Description
The Frobenius norm of an array is the square root of the sum of its squared elements. This function works for vector and matrix arguments as well.
Usage
fnorm(tnsr)
Arguments
tnsr |
a 3-mode tensor S3 class object |
Value
The Frobenius norm
Author(s)
Kyle Caudle
Randy Hoover
Jackson Cates
Everett Sandbo
References
Friedland, S., & Aliabadi, M. (2018). Linear algebra and matrices. Society for Industrial and Applied Mathematics.
Examples
T <- t_rand(modes=c(2,2,4))
fnorm(T$data)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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