library(jack)
library(microbenchmark)
microbenchmark(
JackPol = JackPol(n = n, lambda = lambda, alpha = alpha),
JackSymPol = JackSymPol(n = n, lambda = lambda),
JackPol2 = evalSymbolicQspray(JackSymPol(n = n, lambda = lambda), a = alpha),
setup = {
n <- 5
lambda <- c(4, 2, 2, 1)
alpha <- 2
},
times = 5
)
# Haskell is faster:
#
# benchmarking Jack/jackPol with the given alpha
# mean 33.76 ms
# std dev 3.004 ms
#
# benchmarking Jack/jackSymbolicPol
# mean 543.8 ms
# std dev 44.58 ms
#
# benchmarking Jack/jackSymbolicPol evaluated at alpha
# mean 621.9 ms
# std dev 50.79 ms
# Julia is faster:
#
# julia> @benchmark JackPolynomial(5, [4; 2; 2; 1])
# BenchmarkTools.Trial: 15 samples with 1 evaluation.
# Range (min … max): 261.262 ms … 498.055 ms ┊ GC (min … max): 21.28% … 27.22%
# Time (median): 342.574 ms ┊ GC (median): 18.62%
# Time (mean ± σ): 349.626 ms ± 65.011 ms ┊ GC (mean ± σ): 22.29% ± 5.76%
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