Dimprove: Determination of directions for improvement
In caRamel: Automatic Calibration by Evolutionary Multi Objective Algorithm
Dimprove R Documentation
Determination of directions for improvement
Description
determines directions for improvement
Usage
Dimprove(o_splx, f_splx)
Arguments
o_splx
: matrix of objectives of simplexes (nrow = npoints, ncol = nobj)
f_splx
: vector (npoints) of associated Pareto numbers (1 = dominated)
Value
list of elements "oriedge": oriented edges and "ledge": length
Author(s)
Fabrice Zaoui
Examples
# Definition of the parameters
o_splx <- matrix(rexp(6), 3, 2)
f_splx <- c(1,1,1)
# Call the function
res <- Dimprove(o_splx, f_splx)
caRamel documentation built on March 18, 2022, 7:23 p.m.
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| Dimprove | R Documentation |
Determination of directions for improvement
Description
determines directions for improvement
Usage
Dimprove(o_splx, f_splx)
Arguments
o_splx |
: matrix of objectives of simplexes (nrow = npoints, ncol = nobj) |
f_splx |
: vector (npoints) of associated Pareto numbers (1 = dominated) |
Value
list of elements "oriedge": oriented edges and "ledge": length
Author(s)
Fabrice Zaoui
Examples
# Definition of the parameters o_splx <- matrix(rexp(6), 3, 2) f_splx <- c(1,1,1) # Call the function res <- Dimprove(o_splx, f_splx)
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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