gsvd_optimize: Compute the solution for the kernel weights for a GSVD...
In jmzobitz/BRDF: A collection of files to compute BRDF using GSVD
Description
Usage
Arguments
Value
Examples
View source: R/gsvd_optimize.R
Description
gsvd_optimize Computes residual and solution norm for a GSVD matrix decomposition
Usage
1
gsvd_optimize(gsvdResult, rho)
Arguments
gsvdResult
GSVD decomposition
rho
right hand side of the equation - is a data frame with the band, value, and measurement
Value
A vector of lambda values that optimize for each band. Converged = True - able to determine the norm. FALSE = max number of iterations reached.
Examples
1
# To be filled in later
jmzobitz/BRDF documentation built on July 13, 2019, 6:20 p.m.
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Description Usage Arguments Value Examples
View source: R/gsvd_optimize.R
Description
gsvd_optimize Computes residual and solution norm for a GSVD matrix decomposition
Usage
1 | gsvd_optimize(gsvdResult, rho)
|
Arguments
gsvdResult |
GSVD decomposition |
rho |
right hand side of the equation - is a data frame with the band, value, and measurement |
Value
A vector of lambda values that optimize for each band. Converged = True - able to determine the norm. FALSE = max number of iterations reached.
Examples
1 | # To be filled in later
|
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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