sampleWeights: Sample weights
In mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem
sampleWeights R Documentation
Sample weights
Description
Sample random weights \lambda_1, ... \lambda_n, \sum_{i=1}^{n} \lambda_i = 1
for weighted-sum scalarization.
Usage
sampleWeights(n)
Arguments
n
[integer(1)]
Number of weights to sample.
Value
[numeric] Weight vector.
Examples
sampleWeights(2)
weights = replicate(10, sampleWeights(3L))
colSums(weights)
mcMST documentation built on April 1, 2023, 12:19 a.m.
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| sampleWeights | R Documentation |
Sample weights
Description
Sample random weights \lambda_1, ... \lambda_n, \sum_{i=1}^{n} \lambda_i = 1
for weighted-sum scalarization.
Usage
sampleWeights(n)
Arguments
n |
[ |
Value
[numeric] Weight vector.
Examples
sampleWeights(2)
weights = replicate(10, sampleWeights(3L))
colSums(weights)
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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