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2002 Oct 09
0
R 1.6.0 benchmark with and without optimized ATLAS
...lues______________________ (sec): 1.53666666666667 Eigenvalues of a 220x220 random matrix______________ (sec): 0.466666666666669 Determinant of a 750x750 random matrix______________ (sec): 1.65 Cholesky decomposition of a 1000x1000 matrix________ (sec): 1.30333333333334 Inverse of a 500x500 random matrix__________________ (sec): 1.76000000000000 -------------------------------------------- Trimmed geom. mean (2 extremes eliminated): 1.48949725041955 III. Programmation ------------------ 225,000 Fibonacci numbers calculation (vector calc)_ (sec): 0.25 Creation of a 1500x1...
2001 Feb 16
1
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...1:runs) { a <- rnorm(500*500); dim(a) <- c(500, 500) timing <- system.time({ b <- qr.solve(a) # Rem: a little faster than b <- solve(a) })[3] cumulate <- cumulate + timing } timing <- cumulate/runs times[5, 2] <- timing cat(c("Inverse of a 500x500 random matrix__________________ (sec): ", = timing, "\n")) remove("a", "b") flush.console() times[ , 2] <- sort(times[ , 2]) cat(" = --------------------------------------------\n") cat(c(" Trimmed mean (2 extremes eliminated): ",...