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mcda's Introduction

MCDA
----

MCDA is a package for the GNU R statistical software
which implements MCDA functions in R. 

MCDA is copyrighted by Patrick Meyer, Sébastien Bigaret,
Richard Hodgett and Alexandru-Liviu Olteanu released
under the EUPL (== 1.1) and maintained by 
Patrick Meyer ([email protected]). 

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mcda's Issues

Inefficient matrix multiplication in weightedSum

MCDA/R/weightedSum.R

Lines 31 to 37 in 3a2387c

out<-c()
for (i in 1:dim(performanceTable)[1]){
out<-rbind(out, crossprod(performanceTable[i,],criteriaWeights))
}
out<-as.vector(out)

The efficiency of the weightedSum function would improve vastly, if one took advantage of R's matrix multiplication. Below a minimal reproducible example:

p <- matrix(rnorm(1e5), ncol = 10)
w <- sample(1:10, 10)

bench::mark(
    base = (p %*% w)[, 1],
    mcda = MCDA::weightedSum(p, w)
)

The larger the performance table is, the larger the speedup:

  • 100 rows x 10 columns matrix: ~10x faster
  • 1000 rows x 10 columns matrix: ~100x faster
  • 10000 rows x 10 columns matrix: ~1000x faster

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